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1
Siau, Keng, and Weiyu Wang. "Artificial Intelligence (AI) Ethics." Journal of Database Management 31, no. 2 (April 2020): 74–87. http://dx.doi.org/10.4018/jdm.2020040105.
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Artificial intelligence (AI)-based technology has achieved many great things, such as facial recognition, medical diagnosis, and self-driving cars. AI promises enormous benefits for economic growth, social development, as well as human well-being and safety improvement. However, the low-level of explainability, data biases, data security, data privacy, and ethical problems of AI-based technology pose significant risks for users, developers, humanity, and societies. As AI advances, one critical issue is how to address the ethical and moral challenges associated with AI. Even though the concept of “machine ethics” was proposed around 2006, AI ethics is still in the infancy stage. AI ethics is the field related to the study of ethical issues in AI. To address AI ethics, one needs to consider the ethics of AI and how to build ethical AI. Ethics of AI studies the ethical principles, rules, guidelines, policies, and regulations that are related to AI. Ethical AI is an AI that performs and behaves ethically. One must recognize and understand the potential ethical and moral issues that may be caused by AI to formulate the necessary ethical principles, rules, guidelines, policies, and regulations for AI (i.e., Ethics of AI). With the appropriate ethics of AI, one can then build AI that exhibits ethical behavior (i.e., Ethical AI). This paper will discuss AI ethics by looking at the ethics of AI and ethical AI. What are the perceived ethical and moral issues with AI? What are the general and common ethical principles, rules, guidelines, policies, and regulations that can resolve or at least attenuate these ethical and moral issues with AI? What are some of the necessary features and characteristics of an ethical AI? How to adhere to the ethics of AI to build ethical AI?
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A, Zapata Flórez. "Cognitive Priority over Ethical Priority in Artificial Intelligence: The Primordial Philosophical Analysis in Artificial Intelligence." Philosophy International Journal 5, no. 4 (October 10, 2022): 1–10. http://dx.doi.org/10.23880/phij-16000269.
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The general idea that we have of artificial intelligence (AI) consists of the belief that machines will be able to develop conscious thoughts such as those possessed by human beings, and, as computing advances, such thinking will also advance until intelligence to surpass the human being, with which the advancement of AI represents ethical risks in the future. In reality, such a belief hides a cognitive assumption, which assumes that computational engineering explains human intelligence through the mind-computer metaphor. According to this assumption, technology explains cognition, and philosophy, through ethics, reflects on the impact of said technology. However, in this article, I contradict such an assumption and defend that the philosophy in AI is not reduced to the ethics that is present after the use and impact of AI in the world. I intend to expose that a good ethics of AI is the one that reflects on the appropriate risks facing AI, and for this, philosophy, beforehand, must make a cognitive analysis about the possibilities that computing has to create intelligent machines, namely, whether or not the mindcomputer metaphor makes sense. My thesis consists in defending that the philosophical analysis about AI must be carried out both on a cognitive level and on an ethical level, but that the philosophical priority in the cognitive analysis over the ethical priority, since the ethical risks of AI depend of the possibilities of technology, and only the cognitive approach can account for this.
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R, Rishikesh. "Role of Ethics in Artificial Intelligence." International Journal of Trend in Scientific Research and Development Volume-2, Issue-5 (August 31, 2018): 1627–33. http://dx.doi.org/10.31142/ijtsrd17135.
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K. K, Pragya. "Ethics of Artificial Intelligence(AI)." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 05 (May 11, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem33762.
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In today's research and development, artificial intelligence (AI) ethics are a complex and urgent issue. Concerns about artificial intelligence (AI) systems' possible effects on people, communities, and the larger global environment are raised as these systems are incorporated into more and more facets of society. This study examines the ethical implications of artificial intelligence (AI), looking at topics including privacy, fairness, accountability, transparency, and the possibility of prejudice and discrimination in AI algorithms and decision-making processes. The study endeavours to contribute to the establishment of frameworks and rules that encourage the responsible and ethical use of AI technologies, guaranteeing their conformity with society values and the preservation of human rights, by critically assessing these ethical issues. Keywords:-AI ethics , artificial intelligence, ethics, machine ethics, robotics, challenges.
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Mohadi, Mawloud, and Yasser Tarshany. "Maqasid Al-Shari’ah and the Ethics of Artificial Intelligence." Journal of Contemporary Maqasid Studies 2, no. 2 (July 15, 2023): 79–102. http://dx.doi.org/10.52100/jcms.v2i2.107.
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Technological advancements in the twenty-first century, invigorated by the exponential growth of artificial intelligence (AI) technology, have ushered in a new era that provides many of us with amenities and comforts that were hitherto unattainable. But behind this progressive rhetoric of neo-liberalism, capitalism, and post modernism, artificial Intelligence development has also sparked an increasingly ambiguous ethical future, especially at the level of privacy, manipulations and others. This article provides a
concise analysis of the concept of Maqasid al-Shari’ah and its relevance to AI ethics. This paper attempts to investigate the ethical contemporary challenges posed by the advancement of AI from the perspective of Maqasid-al-Shari’ah and ethic-based approaches. In this study, the qualitative approach was used to clarify the importance of Maqasid Al-Shari’ah and the ethics of artificial intelligence in light of the ongoing contemporary challenges. The article contends that Artificial Intelligence poses weighty ethical challenges related to privacy, manipulation and others which are vital values in Maqasid Al-Shari’ah. The paper concludes that ethical considerations should be incorporated into the development and usage of Artificial Intelligence. The paper paves the way future attempts to analyse alternative ethical paradigms for Artificial intelligence in general, based on a comprehensive Islamic ethic-based approach founded within the context of maqasid which can represent a constructive contribution to the worldwide discourse on the ethics of Artificial Intelligence.
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Tasioulas, John. "Artificial Intelligence, Humanistic Ethics." Daedalus 151, no. 2 (2022): 232–43. http://dx.doi.org/10.1162/daed_a_01912.
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Abstract Ethics is concerned with what it is to live a flourishing life and what it is we morally owe to others. The optimizing mindset prevalent among computer scientists and economists, among other powerful actors, has led to an approach focused on maximizing the fulfilment of human preferences, an approach that has acquired considerable influence in the ethics of AI. But this preference-based utilitarianism is open to serious objections. This essay sketches an alternative, “humanistic” ethics for AI that is sensitive to aspects of human engagement with the ethical often missed by the dominant approach. Three elements of this humanistic approach are outlined: its commitment to a plurality of values, its stress on the importance of the procedures we adopt, not just the outcomes they yield, and the centrality it accords to individual and collective participation in our understanding of human well-being and morality. The essay concludes with thoughts on how the prospect of artificial general intelligence bears on this humanistic outlook.
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Ruban, D. A. "Analytical Review of Conjugation of the Ethical Bases of Artificial Intelligence Implementation and Ecologization in Corporate Governance." Journal of Applied Economic Research 21, no. 2 (2022): 390–418. http://dx.doi.org/10.15826/vestnik.2022.21.2.014.
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In contemporary corporations, managers have to embrace artificial intelligence and to focus on ecologization processes. Modern researchers pay significant attention to various aspects of corporate ethics, including those linked to the two noted challenges (AI ethics and eco-ethics). However, in most cases they are considered separately, whereas the relative behavior norms are actually connected. A new phenomenon can be labeled as AI-eco-ethics. The objective of the present investigation is the analytical reviewing of the conjugation of the ethical basis of artificial intelligence implementation and ecologization in corporate governance. The hypothesis is that previous studies characterize this conjugation sufficiently well. The analytical procedure includes finding articles from international journals dealing with AI-eco-ethics in the bibliographical database "Scopus" and systematizing the ideas from those articles by means of their attribution to common topics. The results indicate the diversity of the previous studies of AI-eco-ethics. The topics are the general questions of AI-eco-ethics, artificial intelligence as a new opportunity for eco-ethics development, the factor of sustainability in AI-eco-ethics, corporate interests in AI-eco-ethics and artificial intelligence as a challenge to eco-ethics. The polarity between the researchers' opinions is expressed sharply, and many of them doubt the positive influences of artificial intelligence on corporate eco-ethics. Reference to the ethic codes of the largest world's corporations implies very limited reflection of AI-ethic norms in them. However, when present, these norms co-occur with eco-ethical prescriptions. The results of the analytical review reveal prospects for the conceptualizing of AI-eco-ethics, which is of theoretical importance. From the practical point of view, the results emphasize the necessity of improving the quality and widening the breadth of managerial education, and also the development of inter-organizational cooperation and communication. The undertaken investigation clearly observes the conjugation of the ethical basis of artificial intelligence implementation and ecologization in corporate governance, although the chosen hypothesis is confirmed only in part.
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Won, Ho-Jun, and Chul-Hyun Lee. "How Gamification-Based Artificial Intelligence Educational Programs Affect Ethical Awareness of Artificial Intelligence among Elementary School Students." Institute for Education and Research Gyeongin National University of Education 43, no. 4 (December 31, 2023): 29–40. http://dx.doi.org/10.25020/je.2023.43.4.29.
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This study investigated the effects of a gamification-based education program centered on Artificial Intelligence (AI) ethical standards on elementary school students’ ethical awareness of AI. Therefore, a 16-session AI ethics educational program was developed based on the ADDIE model according to previous studies on AI ethics education and “human-centered AI ethical standards.” To verify the program’s effectiveness, the program extracted from the “AI ethics (Elementary School) Learning with AI Principles” (Gyeonggi Provincial Office of Education, 2022) was applied to compare between groups and used a student ethics consciousness test tool we developed.
The study results obtained through the application and analysis of this program are as follows. We found statistically significant differences in all areas of interest and the need for AI ethics and ethics education. The results of the pre-and post-tests for each AI ethics element showed statistically significant changes in all areas, except for the “responsibility” element. The AI ethics education program developed in this study is expected to contribute to the formation of a proper AI ethics consciousness among elementary school students.
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Rios-Campos, Carlos, Mariuxi Ileana Tejada-Castro, Jessica Del Consuelo Luzuriaga Viteri, Erick Orlando Guerrero Zambrano, Jorge Bautista Núñez, and Flor Elizabeth Obregón Vara. "Ethics of artificial intelligence." South Florida Journal of Development 4, no. 4 (July 10, 2023): 1715–29. http://dx.doi.org/10.46932/sfjdv4n4-022.
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The general objective of the research was to determine the advances related to the Ethics of Artificial Intelligence. The most powerful countries are investing large amounts of economic resources in the development of artificial intelligence. Methodology, in this research, 49 documents have been selected, carried out in the period 2018 - 2023; including: scientific articles, review articles and information from websites of recognized organizations. Results, the ethics of artificial intelligence is supported by various countries. Furthermore, ChatGPT is considered a major threat in the automation of academic document preparation. Conclusions, about the general objective of the research is to determine the advances related to the Ethics of Artificial Intelligence, it is important to consider the transparency and risks of applying AI. In addition, consider ethical aspects such as the Recommendation on the Ethics of Artificial Intelligence was adopted by UNESCO's General Conference at its 41st session. The European Union (EU) is considering a new legal framework about regulations on the development and use of artificial intelligence. ChatGPT is an AI tool that needs to be carefully evaluated for its impact on education and other human activities. About the first specific objective of the research was to identify the countries that invest the most money in artificial intelligence, there are Japan, Singapore, China, India, Russia, Australia, Unite States of America, and the European Union. About the second specific objective of the research was to determine the risks and requirements of artificial intelligence, the risks are black-box models, privacy violations, bias and discrimination and the requirements are algorithmic transparency, human understandable explanations, privacy-preserving algorithms, data cooperatives, algorithmic fairness.
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Pana, Laura. "Artificial Ethics." International Journal of Technoethics 3, no. 3 (July 2012): 1–20. http://dx.doi.org/10.4018/jte.2012070101.
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A new morality is generated in the present scientific and technical environment, and a new ethics is needed, an ethics which may found both individual and social morality, guiding a moral evolution of different cultural fields and which has chances to keep alive the moral culture itself. Pointed out are the scientific, technical, and philosophical premises of artificial ethics. Specifically the status and the role of artificial ethics is described and detailed by selecting ethical decision procedures, norms, principles and values that are suitable to be applied both by human and artificial moral agents. Moral intelligence as a kind of practical intelligence is studied and its role in human and artificial moral conduct is evaluated. A set of ethical values that may be shared and applied by both human and artificial moral agents is presented. Common features of human and artificial moral agents as well as specific properties of artificial moral agents are analyzed. Artificial ethics is presented and integrated in the multi-set of artificial cognition, discovery, activity, organization and evolution forms. Experiments and the results of this article are explored further in the article.
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Trausan-Matu, Stefan. "Ethics in Artificial Intelligence." International Joural of User-System Interaction 13, no. 3 (2020): 136–48. http://dx.doi.org/10.37789/ijusi.2020.13.3.2.
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MAENO, Takashi. "Artificial Intelligence and Ethics." Journal of JSEE 69, no. 5 (2021): 5_14–5_17. http://dx.doi.org/10.4307/jsee.69.5_14.
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HILCENKO, CHRISTINE, and TARA TAUBMAN-BASSIRIAN. "Artificial Intelligence and Ethics." Journal of Education, Technology and Computer Science 4, no. 34 (December 29, 2023): 119–36. http://dx.doi.org/10.15584/jetacomps.2023.4.12.
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A more covert aspect of Artificial Intelligence (AI) pertains to the ethical quandaries surrounding the actions of machines. In the case of Large Language Models (LLMs), hidden beneath their seemingly impeccable automated outputs lies a colossal amalgamation of trillions of compiled data points, comprising copied blogs, articles, essays, books, and artworks. This raises profound questions about copyright ownership and retribution for the original authors. But beyond intellectual property, another insidious facet of LLMs emerges – their propensity to cause harm to individuals through what can only be described as hallucinatory outputs. Victims of these AI- -generated delusions suffer defamation, and their plight remains largely unnoticed. Amidst the marvels of AI, the plight of the underpaid laborers who form the backbone of AI development is seldom acknowledged, a subject that warrants more profound discussion. Furthermore, as AI algorithms continue to permeate various aspects of society, they bring to the fore issues of bias. For instance, facial recognition technologies frequently exhibit skewed outcomes, leading to false accusations and grave consequences due to over-reliance on these technologies.
The algorithmic schemes employed in CV selection for job applications or university admissions also raise concerns about fairness.
The question of machines replacing the human workforce looms ever larger on the horizon. The potential socio-economic ramifications demand careful evaluation.
Lastly, the extensive reliance of artificial intelligence on vast datasets, including copyrighted works, results in the creation of gargantuan data servers with an unimaginable environmental impact.
The hidden aspects of artificial intelligence encompass a multitude of ethical dilemmas, spanning intellectual property rights, biases, labour conditions, societal impacts, and environmental considerations. A thorough and elaborate examination of these issues is essential to navigate the ever-evolving landscape of AI responsibly and ethically.
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S. Mahalakshmi. "Ethics in Artificial Intelligence." Shanlax International Journal of English 12, S1-Dec (December 14, 2023): 304–9. http://dx.doi.org/10.34293/rtdh.v12is1-dec.109.
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The contemporary discourse is saturated with discussions on artificial intelligence (AI). A mere two months after the introduction of ChatGPT, a January 2023 survey revealed that 89 percent of students were utilizing it for various academic tasks such as essay composition, paper outlining, and completing take-home tests. Traditionally, humanities courses emphasized cognitive skills like reading, researching, and articulating thoughts in eloquent prose. However, the landscape has evolved, enabling the application of sophisticated prompt engineering and AI models for tasks such as formulating questions, summarizing intricate research articles, presenting the pros and cons of an argument, and crafting essays with citations. This paradigm shift extends beyond academia, impacting the dynamic job market and prompting significant changes in higher education. Contrary to earlier beliefs that automation primarily threatened manual labor, the recent transformation encompasses intellectual tasks across diverse sectors. White-collar jobs, once considered secure for college graduates, are now susceptible to automation, affecting areas ranging from coding to essential humanities skills highly valued by employers. Notably, an OpenAI study revealed that 80 percent of US workers could witness at least a 10 percent automation of their tasks.
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Johnson, Emma, Eloy Parrilla, and Austin Burg. "Ethics of Artificial Intelligence in Society." American Journal of Undergraduate Research 19, no. 4 (March 31, 2023): 3–12. http://dx.doi.org/10.33697/ajur.2023.070.
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ABSTRACT: Every day, artificial intelligence (AI) is becoming more prevalent as new technologies are presented to the public with the intent of integrating them into society. However, these systems are not perfect and are known to cause failures that impact a multitude of people. The purpose of this study is to explore how ethical guidelines are followed by AI when it is being designed and implemented in society. Three ethics theories, along with nine ethical principles of AI, and the Agent, Deed, Consequence (ADC) model were investigated to analyze failures involving AI. When a system fails to follow the models listed, a set of refined ethical principles are created. By analyzing the failures, an understanding of how similar incidents may be prevented was gained. Additionally, the importance of ethics being a part of AI programming was demonstrated, followed by recommendations for the future incorporation of ethics into AI. The term “failure” is specifically used throughout the paper because of the nature in which the events involving AI occur. The events are not necessarily “accidents” since the AI was intended to act in certain ways, but the events are also not “malfunctions” because the AI examples were not internally compromised. For these reasons, the much broader term “failure” is used. KEYWORDS: Ethics; Artificial Intelligence; Agent-Deed-Consequence (ADC) Model; Principles of Artificial Intelligence; Virtue Ethics; Deontology; Consequentialism; AI Systems
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Burton, Emanuelle, Judy Goldsmith, Sven Koenig, Benjamin Kuipers, Nicholas Mattei, and Toby Walsh. "Ethical Considerations in Artificial Intelligence Courses." AI Magazine 38, no. 2 (July 1, 2017): 22–34. http://dx.doi.org/10.1609/aimag.v38i2.2731.
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The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course.
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Brendel, Alfred Benedikt, Milad Mirbabaie, Tim-Benjamin Lembcke, and Lennart Hofeditz. "Ethical Management of Artificial Intelligence." Sustainability 13, no. 4 (February 12, 2021): 1974. http://dx.doi.org/10.3390/su13041974.
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With artificial intelligence (AI) becoming increasingly capable of handling highly complex tasks, many AI-enabled products and services are granted a higher autonomy of decision-making, potentially exercising diverse influences on individuals and societies. While organizations and researchers have repeatedly shown the blessings of AI for humanity, serious AI-related abuses and incidents have raised pressing ethical concerns. Consequently, researchers from different disciplines widely acknowledge an ethical discourse on AI. However, managers—eager to spark ethical considerations throughout their organizations—receive limited support on how they may establish and manage AI ethics. Although research is concerned with technological-related ethics in organizations, research on the ethical management of AI is limited. Against this background, the goals of this article are to provide a starting point for research on AI-related ethical concerns and to highlight future research opportunities. We propose an ethical management of AI (EMMA) framework, focusing on three perspectives: managerial decision making, ethical considerations, and macro- as well as micro-environmental dimensions. With the EMMA framework, we provide researchers with a starting point to address the managing the ethical aspects of AI.
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Thomsen, Knud. "Ethics for Artificial Intelligence, Ethics for All." Paladyn, Journal of Behavioral Robotics 10, no. 1 (November 18, 2019): 359–63. http://dx.doi.org/10.1515/pjbr-2019-0029.
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AbstractFor human ethics, it can convincingly be argued that justice is a central cornerstone and basis. Here, it is suggested that this can, to some extent, similarly be applied to robots. The article makes the argument that Rawls’ veil of ignorance in his conception of justice as fairness can effectively be replaced by a much more natural condition of prudent egoism in a finite world. Observing ones’ own important interests in an encompassing context paves the way for a guideline for the conduct, which is binding for humans, robots and each and every pragmatic agent with a minimum level of rationality. These arguments do not see humans (forever) in any privileged position: any agent, single human, state, alien or artificial with a certain minimum of general cognitive (and effective) capabilities is bound by a universal negative imperative. This entails that precautious procedures are preferable, and some general prudently constrained flexibility is required for self-consistency and survival.
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M.Siafakas, Nikolaos. "Medical Ethics Prototype for Artificial Intelligence Ethics." Journal of Philosophy and Ethics 5, no. 2 (2023): 01–03. http://dx.doi.org/10.22259/2642-8415.0502001.
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Shlyapnikov, Viktor. "Some Problems with Artificial Intelligence Ethics." Ideas and Ideals 15, no. 2-2 (June 28, 2023): 365–76. http://dx.doi.org/10.17212/2075-0862-2023-15.2.2-365-376.
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Advances in artificial intelligence (AI) have brought digital ethics to the public’s attention and are the driving force behind many discussions on ethical issues related to digital technologies. This article analyzes the arguments of supporters and opponents of artificial intelligence, various approaches to the development of AI systems, ethical issues associated with the use of AI technologies, including the problem of managing artificial intelligence and the idea of active responsibility for the development of AI technologies, general principles for the development of AI systems formulated in the founding documents. The methodological basis of this work was the dialectical method; in the process of research the author used the comparative method and the method of document analysis. The sources were the studies by domestic and foreign authors on various ethical issues of artificial intelligence, the European “Ethics Guidelines for Trustworthy AI” and the Russian “AI Ethics Code”. The author demonstrates the importance of the moralization of artificial intelligence technologies, that is, the conscious development of technologies for the formation of moral actions and decision-making. One of the clear problems is finding a democratic way to moralize technology, since technology differs from laws in that it can restrict human freedom without being the result of a democratic process. It is argued that it is necessary to create an independent international scientific organization to develop a clear scientific view of artificial intelligence, as well as an independent international body for the regulation of artificial intelligence, which would unite approaches to understanding this phenomenon from different points of view (states, private companies and academia).
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S*, Wang, and Xia Z. "Development Trends of Artificial Intelligence Ethics." Journal of Biomedical Research & Environmental Sciences 5, no. 5 (May 2024): 488–95. http://dx.doi.org/10.37871/jbres1918.
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Artificial Intelligence Ethics is playing an important role with the development of Artificial Intelligence (AI). It is popular recognized that obeying to Artificial Intelligence Ethics guidelines and principles may resolve so many problems caused by Artificial Intelligence. This paper reviewed the development history of Artificial Intelligence Ethics, listed the main guidelines and principles of Artificial Intelligence Ethics, proposed the methods of Artificial Intelligence Ethics governance, discussed related algorithms to solve Artificial Intelligence Ethics problems.
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Li, H. Y., J. T. An, and Y. Zhang. "Ethical Problems and Countermeasures of Artificial Intelligence Technology." E3S Web of Conferences 251 (2021): 01063. http://dx.doi.org/10.1051/e3sconf/202125101063.
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The in-depth development of artificial intelligence has brought great benefits and convenience to humankind. However, it also brings about ethical crises such as human rights, responsibility, generation, information, prejudice, which are worthy of our attention. Therefore, we should deepen the scientific and technological ethics under the guidance of Marxism, construct artificial intelligence ethical standards, strengthen the supervision of artificial intelligence, enhance the public ethical concepts, so that artificial intelligence can really cope with the risks and challenges under the guidance of scientific and technological ethics, and grasp the development opportunities of The Times.
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Alzola, Miguel Angel, Thomas J. Donaldson, Samer Faraj, John Hooker, Tae Wan Kim, and Cristina Neesham. "Artificial Intelligence and Innovation Ethics." Academy of Management Proceedings 2020, no. 1 (August 2020): 22076. http://dx.doi.org/10.5465/ambpp.2020.22076symposium.
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Yang, Chun-Soo. "The Ethics of Artificial Intelligence." Legal Studies Institute of Chosun University 27, no. 1 (April 30, 2020): 73–114. http://dx.doi.org/10.18189/isicu.2020.27.1.73.
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Etzioni, Amitai, and Oren Etzioni. "Incorporating Ethics into Artificial Intelligence." Journal of Ethics 21, no. 4 (March 7, 2017): 403–18. http://dx.doi.org/10.1007/s10892-017-9252-2.
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Kohli, Marc, and Raym Geis. "Ethics, Artificial Intelligence, and Radiology." Journal of the American College of Radiology 15, no. 9 (September 2018): 1317–19. http://dx.doi.org/10.1016/j.jacr.2018.05.020.
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Riczu, Zs. "Recommendations on the Ethical Aspects of Artificial Intelligence, with an Outlook on the World of Work." Journal of Digital Technologies and Law 1, no. 2 (June 17, 2023): 498–519. http://dx.doi.org/10.21202/jdtl.2023.21.
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Objective: the spread and wide application of Artificial Intelligence raises ethical questions in addition to data protection measures. That is why the aim of this paper is to examine ethical aspects of Artificial Intelligence and give recommendations for its use in labor law.Methods: research based on the methods of comparative and empirical analysis. Comparative analysis allowed to examine provisions of the modern labor law in the context of use of Artificial Intelligence. Empirical analysis made it possible to highlight the ethical issues related to Artificial Intelligence in the world of work by examining the disputable cases of the use of Artificial Intelligence in different areas, such as healthcare, education, transport, etc.Results: the private law aspects of the ethical issues of Artificial Intelligence were examined in the context of ethical and labor law issues that affect the selection process with Artificial Intelligence and the treatment of employees as a set of data from the employers’ side. Author outlined the general aspects of ethics and issues of digital ethics. Author described individual international recommendations related to the ethics of Artificial Intelligence.Scientific novelty:this research focused on the examination of ethical issues of the use of Artificial Intelligence in the specific field of private law – labor law. Authors gave recommendations on ethical aspects of use of Artificial Intelligence in this specific field.Practical significance: research contributes to the limited literature on the topic. The results of the research could be used in lawmaking process and also as a basis for future research.
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Wenqi Zhang, Dake Qian,. "Goal Progression, Trait Changes, and Practice Paths of Artificial Intelligence Ethics Education of Professional Courses in Higher Education." Journal of Electrical Systems 20, no. 2 (April 4, 2024): 2151–60. http://dx.doi.org/10.52783/jes.1665.
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Artificial Intelligence as an emerging technology in a large number of applications at the same time gradually revealed many ethical issues. Artificial Intelligence ethics education has become an important initiative and a key link in the implementation of the fundamental task of moral education in Chinese higher education institutions, however, Artificial Intelligence ethics education in professional courses often lags behind the education of course knowledge and skills, and it is difficult to achieve the integration of the three educational requirements. This paper proposes that Artificial Intelligence ethics education in professional courses should meet the requirements of the progression of course teaching objectives and adapt to the changes of educational traits from explicit and implicit to integration, and puts forward a practical path of Artificial Intelligence ethics education in professional courses that is consistent with the objectives, adapted to the traits, and constructed with multiple synergies according to the progression of the educational objectives of the professional course system and the changes of the educational traits. This paper also proposes the following suggestions for ethical education in professional courses: in order to achieve the goals of ethical teaching, it is necessary to establish connections between courses at different stages of cultivation, so that each course forms a hierarchical, collaborative, and supportive relationship. After the relationship is established, it is necessary to strengthen the collaborative participation of various subjects and corresponding practical guarantees in the specific teaching practice. This helps to form a system of Artificial Intelligence ethics education throughout the whole process, which in turn improves students' Artificial Intelligence ethics literacy.
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Mammadzada, Fakhriya. "Artificial intelligence, business ethics and the ethical environment." Journal of Problems of Eastern Philosophy, no. 30 (2024): 50. http://dx.doi.org/10.59849/2219-7370.2024.30.50.
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Munnisunker, Shivaan. "Key Considerations of Ethical Artificial Intelligence That Organisations Need to Consider for Success." GiLE Journal of Skills Development 2, no. 2 (October 12, 2022): 27–35. http://dx.doi.org/10.52398/gjsd.2022.v2.i2.pp27-35.
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It is argued that while Artificial Intelligence is far from having a consciousness like humans do, its consequences on society are minimal. Thus there is no rush to consider ethical issues. However, Artificial Intelligence applications are being implemented in almost every industry, imposing social unrest and upheavals for businesses. This paper aims to advocate for the importance and urgency of Artificial Intelligence ethics. This paper explores the different areas of ethics and then explains the concept of Artificial Intelligence ethics. A literature review is provided addressing four areas of Artificial Intelligence ethics that leaders must address if they are to win successfully in the industry in which they operate. These areas are biases, data security, explainability, and impact. A case study focusing on the fictional company Strategeion is examined to illustrate the complexities of an Artificial Intelligence system in which a potential candidate for a job was discriminated against because of an error in its learning system.
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Mantini, Alessandro. "Technological Sustainability and Artificial Intelligence Algor-ethics." Sustainability 14, no. 6 (March 9, 2022): 3215. http://dx.doi.org/10.3390/su14063215.
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Since 2018, a new terminology has been developed, called Algor-ethics, indicating the necessity for a dedicated study concerning the evaluation of an ethics applied to technology, to Algorithms and to Artificial Intelligence (AI). At the same time, since 1987, when the concept of sustainability was introduced, the discussion on this issue has become increasingly lively and has now spread to every area of life. In this paper, we would like to propose an application of the concept of sustainability to technological processes and in particular to the elaboration of AI systems. To reach this goal we will first try to build an ethical framework, here called Dynamical Techno-Algor-Ethical Composition, to define the interaction between the most important ethical ingredients involving the human person in relation to technology, taking a person-centered approach. Out of this will emerge a possible structure and definition of Technological Sustainability. The second step will consist of evaluating the process for the elaboration of an AI algorithm as a concrete application of the previously analyzed framework, to set ethical contents composing what we might call a good and sustainable algorithm.
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Arisanti, Yuli. "Tantangan Etika di Bidang Perhotelan pada Era Artificial Intelligence." Ideas: Jurnal Pendidikan, Sosial, dan Budaya 9, no. 4 (November 24, 2023): 1247. http://dx.doi.org/10.32884/ideas.v9i4.1541.
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The use of AI (artificial intelligence) has penetrated the hospitality sector, thereby requiring ethical guidelines. Research to explain ethical challenges in the hospitality sector. The research was carried out using the literature study method. The research results show that ethical challenges are fairness, reliability, security, privacy, security, inclusiveness, transparency and accountability. Ethics in non-technical fields such as employee reduction issues, employee dedication. The hotel industry needs to understand ethics in both technical and non-technical fields. Criteria for leaders needed in the AI era in the hospitality sector who have ACKEH (Agile, Communication, Knowledge, Ethics, Empathy, and Hospitality) skills. This research provides solutions to face AI ethical challenges and enriches literacy in the field.
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López González, Ariel, Mailyn Moreno, Ariadna Claudia Moreno Román, Yahima Hadfeg Fernández, and Nayma Cepero Pérez. "Ethics in Artificial Intelligence: an Approach to Cybersecurity." Inteligencia Artificial 27, no. 73 (January 5, 2024): 38–54. http://dx.doi.org/10.4114/intartif.vol27iss73pp38-54.
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In the paper, an analysis is conducted on the intricate relationship between ethics, artificial intelligence, and cybersecurity. The ethical principles that govern the advancement of AI are examined, alongside the security issues that arise from its implementation. The ethical utilization of artificial intelligence in the realms of cybersecurity and hacking is explored. Emphasis is placed on the significance of AI ethics, particularly in terms of transparency, accountability, and fairness. Additionally, the paper delves into the security challenges that emerge as AI is adopted, such as safeguarding user privacy and ensuring equitable access to the technology.
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Valdivia Jiménez, Ramón Darío. "Ética e inteligencia artificial. Una discusión jurídica." IUS ET SCIENTIA 6, no. 2 (2020): 111–34. http://dx.doi.org/10.12795/ietscientia.2020.i02.09.
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Humanity has gone through an evolutionary process based on the advancement of technology created by human intelligence. Currently, the concept of intelligence has detached itself from the corporality of the human being and has the intention of changing it: its models, relationships and convictions. This paper claims the dependence, even symbolic, of that IA to the social archetypes of our weltanchauung. From this point of view, technological advance will generate human development, but they do not yet reach the possibility of substantially changing human being. One of the most important referees that will moderate the constant dialogue between human “physical and artificial intelligence” is Law, which will have the mission of reconciling the relationship between being and what should be. In this relation, I propose three images that serve as a guide for this discussion: the cloud, the wall, and the plague.
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Singh, Vikrant, and Professor Bhumi Shah. "AI AND ETHICS." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 18, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29381.
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In discussions of modern technology, the relationship between ethics and artificial intelligence (AI) has become precedent. As artificial intelligence (AI) grows increasingly pervasive in society, ethical concerns about its development, use, and impact on individuals and organizations become more important. This research explores the complex interrelationship between AI and ethics with the objective to provide a comprehensive understanding of the ethical prospective and issues related to AI development. Due to its widespread application, artificial intelligence has the potential to significantly impact human existence in several domains. A lot of study has been made to the ethical implications of AI's cognitive developments and how they might impact human rights. Even though the concept of AI is changing, its fundamental goal is still to perform better than humans at tasks, which raises concerns about how AI may affect human rights and dignity.
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Nadiger, Anusha S. "The Ethics of Artificial Intelligence: An Empirical Overlook." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 08, no. 03 (March 25, 2024): 1–5. http://dx.doi.org/10.55041/ijsrem29650.
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This research paper delves into the intricate web of ethical concerns surrounding the ever-evolving realm of Artificial Intelligence (AI). It embarks on a journey to elucidate the multifaceted landscape of AI, spanning its definition, historical evolution, and contemporary applications. The core of this investigation revolves around the pivotal ethical dimensions inherent to AI, encompassing topics such as bias mitigation, privacy preservation, accountability enforcement, transparency enhancement, explainability pursuit, alignment with human values, and the latent potential for AI to exacerbate existing societal inequalities. An extensive review of the existing literature on AI ethics, conducted within this paper, unveils a rich tapestry of insights, illuminating critical findings and charting promising avenues for future research. It maps the evolution of AI ethics discourse, offering an analytical prism to comprehend the evolving contours of this dynamic field. In its concluding remarks, this research paper extends its purview to the global stage, advocating the imperative need for the establishment of international standards governing the ethical deployment of AI. It is an earnest endeavor to synthesize the collective wisdom garnered through this exploration into actionable recommendations that can guide the responsible development and utilization of AI, thereby ensuring that its transformative power is harnessed in a manner that is both technologically profound and ethically impeccable. Keywords AI Ethics, Evolution of AI Ethics, Global Standards, Human Values Alignment
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Kim Myungsik. "Artificial Intelligence and Environmental Ethics: Moral, Legal Right of Artificial Intelligence." Environmental Philosophy ll, no. 25 (June 2018): 5–30. http://dx.doi.org/10.35146/jecoph.2018..25.001.
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Syafuddin, Khairul. "Ethics of Artificial Intelligence: Dialectics of Artificial Intelligence Policy for Humanity." Eastasouth Journal of Information System and Computer Science 1, no. 03 (April 30, 2024): 147–54. http://dx.doi.org/10.58812/esiscs.v1i03.178.
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Artificial Intelligence is now widely used by humans. The use of this technology is based on the view that Artificial Intelligence can make their lives easier. Many sectors have utilized this technology, including government, private, social, health, to education. Even though Artificial Intelligence is felt to have many benefits, there are perceived threats so that appropriate policies are needed. Thus, the aim of this research is to find out policies that can be recommended for the use of Artificial Intelligence that focus on humanitarian aspects. This research uses a qualitative approach to deepen the literature review that has been carried out. The results of this research show that the presence of Artificial Intelligence provides quite large benefits, especially as a technology for predicting the future. However, to regulate the use of this technology, appropriate policies are needed to avoid increasingly widespread digital crimes. In formulating Artificial Intelligence policies, humanitarian aspects need to be considered to provide appropriate protection. Especially for vulnerable groups who have low access to the use of Artificial Intelligence.
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Fox, Stephen. "Behavioral Ethics Ecologies of Human-Artificial Intelligence Systems." Behavioral Sciences 12, no. 4 (April 11, 2022): 103. http://dx.doi.org/10.3390/bs12040103.
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Historically, evolution of behaviors often took place in environments that changed little over millennia. By contrast, today, rapid changes to behaviors and environments come from the introduction of artificial intelligence (AI) and the infrastructures that facilitate its application. Behavioral ethics is concerned with how interactions between individuals and their environments can lead people to questionable decisions and dubious actions. For example, interactions between an individual’s self-regulatory resource depletion and organizational pressure to take non-ethical actions. In this paper, four fundamental questions of behavioral ecology are applied to analyze human behavioral ethics in human–AI systems. These four questions are concerned with assessing the function of behavioral traits, how behavioral traits evolve in populations, what are the mechanisms of behavioral traits, and how they can differ among different individuals. These four fundamental behavioral ecology questions are applied in analysis of human behavioral ethics in human–AI systems. This is achieved through reference to vehicle navigation systems and healthcare diagnostic systems, which are enabled by AI. Overall, the paper provides two main contributions. First, behavioral ecology analysis of behavioral ethics. Second, application of behavioral ecology questions to identify opportunities and challenges for ethical human–AI systems.
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Hermansyah, Muhammad, Ainun Najib, Any Farida, Rian Sacipto, and Bagus Setya Rintyarna. "Artificial Intelligence and Ethics: Building an Artificial Intelligence System that Ensures Privacy and Social Justice." International Journal of Science and Society 5, no. 1 (February 21, 2023): 154–68. http://dx.doi.org/10.54783/ijsoc.v5i1.644.
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The term "artificial intelligence" (AI) refers to technology becoming increasingly prevalent in many facets of human life. Nevertheless, significant concerns regarding social justice and privacy in the application of AI are also being noticed. This article explores the significance of ethics in developing artificial intelligence systems that can protect individuals' privacy and promote social justice. A qualitative methodology was used for this study, which consists of a review of previous research. As a result of this research, we describe what is artificial intelligence with examples of its use, ethics with its functions, how to embed ethics into artificial intelligence technologies, including robot and machine ethics. The following is an examination of AI and ethics from the point of view of privacy and social justice. In the context of the use of AI, offer some suggestions about constructing a more moral and accountable AI system.
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Baihakki, Mohd Azri, and Shadiya Mohamed Saleh Ba Qutayan. "Ethical Issues of Artificial Intelligence (AI) in the Healthcare." Journal of Science, Technology and Innovation Policy 9, no. 1 (June 11, 2023): 32–37. http://dx.doi.org/10.11113/jostip.v9n1.129.
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The idea of integrating ethics into artificial intelligence (AI) increased globally, and it became an important policy objective in many countries. The ethics of AI has seen significant press coverage in recent years, which supports related research, but also may end up undermining it. The issues under discussion were just predictions of what future technology will bring, and we already know what would be most ethical and how to achieve that. This paper is a literature review in nature; it analyzes previous studies related to implementation of ethics in AI. The literature results indicate that between 2010 and 2021, there were 150 AI ethical incidents; including data privacy and security risks, safety concerns, bias diagnosis, the possibility of hostile entities taking control of AI, a lack of interpersonal communication or a humanistic perspective, wealth concentration around an AI business and job losses. The findings obtained from this literature review can help to propose method for AI; it's, indeed, an avenue for researchers to understand ethics needed in AI. Thus, this is crucial to provide suitable suggestions on planning the next course of action on how to integrate ethics in AI in the future.
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Mamina, R. I., and A. V. Ilina. "Artificial Intelligence: in Search for Formalization of Ethical Foundations." Discourse 8, no. 6 (December 19, 2022): 17–30. http://dx.doi.org/10.32603/2412-8562-2022-8-6-17-30.
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Introduction. In digital age the role of artificial intelligence (AI) in society is largely determined by the technological breakthrough in the field of applied AI over the past two decades. However the implementation of AI innovations not only opens up new opportunities for individuals and society as a whole, but also raises a number of problems, primarily of a socio-ethical focus. In particular, the scientific community considers the problem of “moral machines” to be of high research priority. The article deals with the problems of ethical regulation of AI in human-machine communication, latest research results, and trends in this field.Methodology and sources. The article is based on methodology of cultural-philosophical, axiological and interdisciplinary approaches. There were also used the following sources: scientific research of Russian and foreign authors, documents, publications and websites dedicated to the current state of AI and the tasks to be solved by specialists in the field of AI ethics.Results and discussion. The urgency of issues in the field of AI ethics determines the need for systematization of basic ethical concepts in order to integrate ethics into applied AI. It is argued that despite the accumulation of regulatory basis in the field of AI ethics, the problem of conclusive formalization of ethical norms in this field is still unresolved. The main difficulty with the aforementioned norms lies in the fact that ethics of AI is more dependent upon formalization than upon semantics. Conclusion. Currently, the process of establishing a regulatory framework for ethics of AI is actively discussed in industry and science. However, if we want the human-machine communication to start its development from the standpoint of a human-centric digital age, it is important not only to solve ethical problems, but also to create new professions in the field of AI ethics, as well as to introduce new approaches towards the training of engineers and developers of AI systems that meet demands of the time.
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Ibrahim Kirtsova, Nurlan Huseynov, Ibrahim Kirtsova, Nurlan Huseynov. "THE ETHICAL IMPORTANCE OF ARTIFICIAL INTELLIGENCE IN B2B MARKETING: A CRITICAL ANALYSIS." PAHTEI-Procedings of Azerbaijan High Technical Educational Institutions 41, no. 06 (May 14, 2024): 252–61. http://dx.doi.org/10.36962/pahtei41062024-27.
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The article discusses some relevant philosophical and methodological aspects of the analysis of the processes of digitalization of markets and the introduction of digital technologies in business management related to digital ethics. The empirical research conducted by the author is aimed at identifying current trends in the implementation of artificial intelligence in marketing, the attitude of company management to the implementation of these processes, awareness of ethical aspects and problems of interaction with consumers. The goal of the work is to advance the issues of determining the attributes of digital ethics for the use of artificial intelligence in business: assessing the awareness of new opportunities and risks in Russian entrepreneurship. These issues naturally attract the attention of Russian. In this regard, a number of ethical problems relevant to the digital space are identified, such as problems of information wars and cyber attacks, problems of information security, privacy of private life, primacy of information sources, digital education technologies, transformation of moral values, in particular , perceptions of cruelty and violence in the digital entertainment industry, ethics of virtual communities, the use of artificial intelligence and virtual reality in production teams. The issues of developing the business environment, in particular, the reputational risks of companies in the context of the emergence of a new digital ethics, also deserve special attention . The wide public response to the ethical aspects of digitalization of various aspects of public relations has led to the development of a number of international and Russian documents that bring to the fore the observance of ethical principles and norms in the new environment of life and development of society. About two dozen large Russian companies and organizations signed the first Russian “Code of Ethics for Artificial Intelligence” at the end of 2021. The Artificial Intelligence Code states that responsibility in the application of this technology must always remain with humans. Its development is provided for by the AI Development Strategy until 2030 and the federal project “Artificial Intelligence”. For now, compliance with the norms of this document is voluntary. There are similar documents in 20 countries, 35 large companies in the world already have their own codes, in Russia - Sberbank and Yandex (Artificial Intelligence...). At the end of 2022, the European Union adopted the European Declaration on European Digital Rights and Principles (European Digital Rights.). Keywords: digital ethics, business ethics, artificial intelligence, marketing, parasocial relationships.
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Azoulay, Audrey. "Towards an ethics of artificial intelligence." UN Chronicle 55, no. 4 (January 25, 2019): 24–25. http://dx.doi.org/10.18356/3a8f673a-en.
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Klockmann, Victor, Alicia von Schenk, and Marie Claire Villeval. "Artificial intelligence, ethics, and intergenerational responsibility." Journal of Economic Behavior & Organization 203 (November 2022): 284–317. http://dx.doi.org/10.1016/j.jebo.2022.09.010.
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Yi, Dong-Shin. "Broken Head: Artificial Intelligence and Ethics." Journal of AI Humanities 1 (April 30, 2018): 57–76. http://dx.doi.org/10.46397/jaih.1.3.
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MURAKAMI, Yuko. "Trends in Ethics of Artificial Intelligence." IEICE ESS Fundamentals Review 11, no. 3 (2018): 155–63. http://dx.doi.org/10.1587/essfr.11.3_155.
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Keskinbora, Kadircan H. "Medical ethics considerations on artificial intelligence." Journal of Clinical Neuroscience 64 (June 2019): 277–82. http://dx.doi.org/10.1016/j.jocn.2019.03.001.
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Robles Carrillo, Margarita. "Artificial intelligence: From ethics to law." Telecommunications Policy 44, no. 6 (July 2020): 101937. http://dx.doi.org/10.1016/j.telpol.2020.101937.
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Baum, Seth D. "Social choice ethics in artificial intelligence." AI & SOCIETY 35, no. 1 (September 30, 2017): 165–76. http://dx.doi.org/10.1007/s00146-017-0760-1.
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