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Relevant bibliographies by topics / Generative AI Risks

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Journal articles

Academic literature on the topic 'Generative AI Risks'

Author: Grafiati

Published: 21 December 2024

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Journal articles on the topic "Generative AI Risks"

1

El-Hadi, Mohamed. "Generative AI Poses Security Risks." مجلة الجمعية المصرية لنظم المعلومات وتکنولوجيا الحاسبات 34, no. 34 (2024): 72–73. http://dx.doi.org/10.21608/jstc.2024.338476.

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2

Hu, Fangfei, Shiyuan Liu, Xinrui Cheng, Pengyou Guo, and Mengqi Yu. "Risks of Generative Artificial Intelligence and Multi-Tool Governance." Academic Journal of Management and Social Sciences 9, no. 2 (2024): 88–93. http://dx.doi.org/10.54097/stvem930.

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While generative AI, represented by ChatGPT, brings a technological revolution and convenience to life, it may raise a series of social and legal risks, mainly including violation of personal privacy and data security issues, infringement of intellectual property rights, generation of misleading and false content, and exacerbation of discrimination and prejudice. However, the traditional AI governance paradigm oriented towards conventional AI may not be adequately adapted to generative AI with generalized potential and based on big models. In order to encourage the innovative development of ge

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3

Moon, Su-Ji. "Effects of Perception of Potential Risk in Generative AI on Attitudes and Intention to Use." International Journal on Advanced Science, Engineering and Information Technology 14, no. 5 (2024): 1748–55. http://dx.doi.org/10.18517/ijaseit.14.5.20445.

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Generative artificial intelligence (AI) is rapidly advancing, offering numerous benefits to society while presenting unforeseen potential risks. This study aims to identify these potential risks through a comprehensive literature review and investigate how user’s perceptions of risk factors influence their attitudes and intentions to use generative AI technologies. Specifically, we examined the impact of four key risk factors: fake news generation, trust, bias, and privacy concerns. Our analysis of data collected from experienced generative AI users yielded several significant findings: First,

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4

Campbell, Mark, and Mlađan Jovanović. "Disinfecting AI: Mitigating Generative AI’s Top Risks." Computer 57, no. 5 (2024): 111–16. http://dx.doi.org/10.1109/mc.2024.3374433.

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5

Siyed, Zahm. "Generative AI Increases Cybersecurity Risks for Seniors." Computer and Information Science 17, no. 2 (2024): 39. http://dx.doi.org/10.5539/cis.v17n2p39.

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We evaluate how generative AI exacerbates the cyber risks faced by senior citizens. We assess the risk that powerful LLMs can easily be misconfigured to serve a malicious purpose, and that platforms such as HackGPT or WormGPT can facilitate low-skilled script kiddies to replicate the effectiveness of high-skilled threat actors. We surveyed 85 seniors and found that the combination of loneliness and low cyber literacy places 87% of them at high risk of being hacked. Our survey further revealed that 67% of seniors have already been exposed to potentially exploitable digital intrusions and only 2

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6

Sun, Hanpu. "Risks and Legal Governance of Generative Artificial Intelligence." International Journal of Social Sciences and Public Administration 4, no. 1 (2024): 306–14. http://dx.doi.org/10.62051/ijsspa.v4n1.35.

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Generative Artificial Intelligence (AI) represents a significant advancement in the field of artificial intelligence, characterized by its ability to autonomously generate original content by learning from existing data. Unlike traditional decision-based AI, which primarily aids in decision-making by analyzing data, generative AI can create new texts, images, music, and more, showcasing its immense potential across various domains. However, this technology also presents substantial risks, including data security threats, privacy violations, algorithmic biases, and the dissemination of false in

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7

Mortensen, Søren F. "Generative AI in securities services." Journal of Securities Operations & Custody 16, no. 4 (2024): 302. http://dx.doi.org/10.69554/zlcg3875.

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Generative AI (GenAI) is a technology that, since the launch of ChatGPT in November 2022, has taken the world by storm. While a lot of the conversation around GenAI is hype, there are some real applications of this technology that can bring real value to businesses. There are, however, risks in applying this technology blindly that sometimes can outweigh the value it brings. This paper discusses the potential applicability of GenAI to the processes in post-trade and what impact it could have on financial institutions and their ability to meet challenges in the market, such as T+1. We also disc

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8

Wang, Mingzheng. "Generative AI: A New Challenge for Cybersecurity." Journal of Computer Science and Technology Studies 6, no. 2 (2024): 13–18. http://dx.doi.org/10.32996/jcsts.2024.6.2.3.

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The rapid development of Generative Artificial Intelligence (GAI) technology has shown tremendous potential in various fields, such as image generation, text generation, and video generation, and it has been widely applied in various industries. However, GAI also brings new risks and challenges to cybersecurity. This paper analyzes the application status of GAI technology in the field of cybersecurity and discusses the risks and challenges it brings, including data security risks, scientific and technological ethics and moral challenges, Artificial Intelligence (AI) fraud, and threats from cyb

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9

Gabriel, Sonja. "Generative AI in Writing Workshops: A Path to AI Literacy." International Conference on AI Research 4, no. 1 (2024): 126–32. https://doi.org/10.34190/icair.4.1.3022.

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The widespread use of generative AI tools which can support or even take over several part of the writing process has sparked many discussions about integrity, AI literacy and changes to academic writing processes. This paper explores the impact of generative artificial intelligence (AI) tools on the academic writing pro-cess, drawing on data from a writing workshop and interviews with university students of a university teacher college in Austria. Despite the widespread assumption that generative AI, such as ChatGPT, is widely used by students to support their academic tasks, initial findings

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10

Tong, Yifeng. "Research on Criminal Risk Analysis and Governance Mechanism of Generative Artificial Intelligence such as ChatGPT." Studies in Law and Justice 2, no. 2 (2023): 85–94. http://dx.doi.org/10.56397/slj.2023.06.13.

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The launch of ChatGPT marks a breakthrough in the development of generative artificial intelligence (generative AI) technology, which is based on the collection and learning of big data as its core operating mechanism. Now the generative AI has the characteristics of high intelligence and high generalization and thus has led to various criminal risks. The current criminal law norms are inadequate in terms of the attribution system and crime norms for the criminal risks caused by the generative AI technologies. Thus, we should clarify the types of risks and governance challenges of generative A

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