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Journal articles on the topic 'AI hype'

Author: Grafiati

Published: 2 June 2025

Last updated: 31 July 2025

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1

Devedzic, Vladan. "Is this artificial intelligence?" Facta universitatis - series: Electronics and Energetics 33, no. 4 (2020): 499–529. http://dx.doi.org/10.2298/fuee2004499d.

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Artificial Intelligence (AI) has become one of the most frequently used terms in the technical jargon (and often in not-so-technical jargon). Recent advancements in the field of AI have certainly contributed to the AI hype, and so have numerous applications and results of using AI technology in practice. Still, just like with any other hype, the AI hype has its controversies. This paper critically examines developments in the field of AI from multiple perspectives - research, technological, social and pragmatic. Part of the controversies of the AI hype stem from the fact that people use the te

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Seifert, Franz, and Camilo Fautz. "Hype After Hype: From Bio to Nano to AI." NanoEthics 15, no. 2 (2021): 143–48. http://dx.doi.org/10.1007/s11569-021-00399-3.

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Konnelly, Lex, and Nathan Sanders. "AI hype in the classroom." Proceedings of the Linguistic Society of America 9, no. 3 (2024): 5852. http://dx.doi.org/10.3765/plsa.v9i3.5852.

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Artificial intelligence (AI) tools, especially generative tools based on large language models (LLMs), such as ChatGPT, raise critical concerns for academic integrity, for ensuring genuine assessment of student learning, and for equity. Public understanding of these tools is clouded by hype about their capabilities, as they are often treated as knowledgeable and even sentient, and thus suitable for any human task. Of particular concern for instructors is how, and how much, students rely on these tools to complete their coursework. We address some of these issues in our classrooms by reporting

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Züger, Theresa, Freia Kuper, Judith Fassbender, Anna Katzy-Reinshagen, and Irina Kühnlein. "Handling the hype: Implications of AI hype for public interest tech projects." TATuP - Zeitschrift für Technikfolgenabschätzung in Theorie und Praxis 32, no. 3 (2023): 34–40. http://dx.doi.org/10.14512/tatup.32.3.34.

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Based on theories of expectations of technology and empirical data from expert interviews and case studies, this research article explores how actors in the field of public interest technologies relate to and within the dynamics of AI hype. On an affirmative note, practitioners and experts see the potential that AI hype can serve their own purposes, e.g., through improved funding and support structures. At the same time, public interest tech actors distance themselves from the dynamics of AI hype and criticize it explicitly. Finally, the article discusses how engagement with AI hype and its im

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5

Haigh, Thomas. "How the AI Boom Went Bust." Communications of the ACM 67, no. 2 (2024): 22–26. http://dx.doi.org/10.1145/3634901.

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Sheffer, Joseph. "AI in Healthcare: Less Hype, Better Data." Biomedical Instrumentation & Technology 53, no. 2 (2019): 82–83. http://dx.doi.org/10.2345/0899-8205-53.2.82.

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Di Ieva, Antonio. "AI-augmented multidisciplinary teams: hype or hope?" Lancet 394, no. 10211 (2019): 1801. http://dx.doi.org/10.1016/s0140-6736(19)32626-1.

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Yesavage, Tiffany. "AI in Clinical Trials Reality versus Hype." Genetic Engineering & Biotechnology News 43, no. 8 (2023): 36–38. http://dx.doi.org/10.1089/gen.43.08.12.

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9

Fox, Stephen. "Irresponsible Research and Innovation? Applying Findings from Neuroscience to Analysis of Unsustainable Hype Cycles." Sustainability 10, no. 10 (2018): 3472. http://dx.doi.org/10.3390/su10103472.

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The introduction of technological innovations is often associated with suboptimal decisions and actions during cycles of inflated expectations, disappointment, and unintended negative consequences. For brevity, these can be referred to as hype cycles. Hitherto, studies have reported hype cycles for many different technologies, and studies have proposed different methods for improving the introduction of technological innovations. Yet hype cycles persist, despite suboptimal outcomes being widely reported and despite methods being available to improve outcomes. In this communication paper, findi

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Pedersen, Isabel. "Generative AI Adoption in Postsecondary Education, AI Hype, and ChatGPT’s Launch." Open/Technology in Education, Society, and Scholarship Association Journal 4, no. 1 (2024): 1–19. http://dx.doi.org/10.18357/otessaj.2024.4.1.59.

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The rapid integration of generative artificial intelligence (AI) into postsecondary education and many other sectors resulted in a global reckoning with this new technology. This paper contributes to the study of the multifaceted influence of generative AI, with a particular focus on OpenAI's ChatGPT within academic settings during the first six months after the release in three specific ways. First, it scrutinizes the rise of ChatGPT as a transformative event construed through a study of mainstream discourses exhibiting AI hype. Second, it discusses the perceived implications of generative AI

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Tarasov, Alexey A. "The threat of convergence of “strong AI” and “weak AI”." Digital Scholar: Philosopher`s Lab 7, no. 1 (2024): 48–55. https://doi.org/10.32326/2618-9267-2024-7-1-48-55.

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The article is devoted to the hype that surrounds artificial intelligence (AI) today, which can be compared with a virus attack, or more precisely with the spread of a meme. So, Bruno Latour would definitely agree that the mutation of the virus is creativity. We usually do not recognize any intelligence behind viruses or bacteria. Only as a figure of speech. Thus, it is shown that the problem of AI is a problem of pantheism, that is, anti-intellectualism of AI. For example, today AI is implemented primarily in the form of constructing a “smart” environment in which more and more stupid people

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12

Hollis, Kate Fultz, Lina F. Soualmia, and Brigitte Séroussi. "Artificial Intelligence in Health Informatics: Hype or Reality?" Yearbook of Medical Informatics 28, no. 01 (2019): 003–4. http://dx.doi.org/10.1055/s-0039-1677951.

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Objectives: To provide an introduction to the 2019 International Medical Informatics Association (IMIA) Yearbook by the editors. Methods: This editorial presents an overview and introduction to the 2019 IMIA Yearbook which includes the special topic “Artificial Intelligence in Health: New Opportunities, Challenges, and Practical Implications". The special topic is discussed, the IMIA President’s statement is introduced, and changes in the Yearbook editorial team are described. Results: Artificial intelligence (AI) in Medicine arose in the 1970’s from new approaches for representing expert know

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13

Rose, Sherri. "AI Hype Cycles and Reality in Health Care." JAMA Health Forum 6, no. 6 (2025): e251904. https://doi.org/10.1001/jamahealthforum.2025.1904.

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Lavanchy, Maude, Amit Joshi, and Arnaud Chevallier. "Don't Let the AI Hype Undermine Good Decision-making." Management and Business Review 2, no. 4 (2022): 46–54. http://dx.doi.org/10.1177/2694105820220204005.

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Implementing artificial intelligence (AI) is easier said than done! Maude Lavanchy, Amit Joshi, and Arnaud Chevallier describe the pitfalls managers should avoid when implementing AI and outline its strengths and weaknesses.

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Lorenzini, Giorgia, Laura Arbelaez Ossa, Stephen Milford, Bernice Simone Elger, David Martin Shaw, and Eva De Clercq. "The “Magical Theory” of AI in Medicine: Thematic Narrative Analysis." JMIR AI 3 (August 19, 2024): e49795. http://dx.doi.org/10.2196/49795.

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Background The discourse surrounding medical artificial intelligence (AI) often focuses on narratives that either hype the technology’s potential or predict dystopian futures. AI narratives have a significant influence on the direction of research, funding, and public opinion and thus shape the future of medicine. Objective The paper aims to offer critical reflections on AI narratives, with a specific focus on medical AI, and to raise awareness as to how people working with medical AI talk about AI and discharge their “narrative responsibility.” Methods Qualitative semistructured interviews we

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Carman, Erin Lee, Emmanuel Fragnière, and Marshall Sitten. "AI and Risk Management: The Critical Role of Service Designers: Guiding organisations toward responsible AI adoption." Touchpoint 15, no. 1 (2024): 69–72. http://dx.doi.org/10.30819/touchpoint.15-1.16.

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The growing hype around AI follows an all-too-familiar pattern: the desire by organisations to supplant human expertise with technological tools. Service designers have a crucial role to play here as informal risk managers, guiding organisations toward an adoption of AI that enhances, rather than replaces, the human element in service.

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Park, Seong Ho, Kyung-Hyun Do, Sungwon Kim, Joo Hyun Park, and Young-Suk Lim. "What should medical students know about artificial intelligence in medicine?" Journal of Educational Evaluation for Health Professions 16 (July 3, 2019): 18. http://dx.doi.org/10.3352/jeehp.2019.16.18.

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Artificial intelligence (AI) is expected to affect various fields of medicine substantially and has the potential to improve many aspects of healthcare. However, AI has been creating much hype, too. In applying AI technology to patients, medical professionals should be able to resolve any anxiety, confusion, and questions that patients and the public may have. Also, they are responsible for ensuring that AI becomes a technology beneficial for patient care. These make the acquisition of sound knowledge and experience about AI a task of high importance for medical students. Preparing for AI does

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Thais, Savannah. "Misrepresented Technological Solutions in Imagined Futures: The Origins and Dangers of AI Hype in the Research Community." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7 (October 16, 2024): 1455–65. http://dx.doi.org/10.1609/aies.v7i1.31737.

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Technology does not exist in a vacuum; technological development, media representation, public perception, and governmental regulation cyclically influence each other to produce the collective understanding of a technology's capabilities, utilities, and risks. When these capabilities are overestimated, there is an enhanced risk of subjecting the public to dangerous or harmful technology, artificially restricting research and development directions, and enabling misguided or detrimental policy. The dangers of technological hype are particularly relevant in the rapidly evolving space of AI. Cent

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Newlands, Gemma. "Lifting the curtain: Strategic visibility of human labour in AI-as-a-Service." Big Data & Society 8, no. 1 (2021): 205395172110160. http://dx.doi.org/10.1177/20539517211016026.

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Artificial Intelligence-as-a-Service (AIaaS) empowers individuals and organisations to access AI on-demand, in either tailored or ‘off-the-shelf’ forms. However, institutional separation between development, training and deployment can lead to critical opacities, such as obscuring the level of human effort necessary to produce and train AI services. Information about how, where, and for whom AI services have been produced are valuable secrets, which vendors strategically disclose to clients depending on commercial interests. This article provides a critical analysis of how AIaaS vendors manipu

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McKelvey, Fenwick, Joanna Redden, Jonathan Roberge, and Luke Stark. "(Un)stable diffusions." Journal of Digital Social Research 6, no. 4 (2024): 1–12. https://doi.org/10.33621/jdsr.v6i440453.

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Generative AI is a uniquely public technology. The large language models behind ChatGPT and other tools that generate text and images is a major develop in publicity as much as technology. Without public data and public participation, these large models could not be trained. Without the attention, hype, and hope around these technologies, the big AI firms probably could not afford the computational costs to train these models. Our special issue questions how Critical AI Studies can attend to the publics, publicities, and publicizations of generative AI. We situate AI’s publicity as mode of pub

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Samijonov, Nurmukhammad Y. "EMERGING SECURITY CONCERNS BECAUSE OF AI USAGE." Journal of Social Sciences and Humanities Research Fundamentals 3, no. 11 (2023): 43–46. http://dx.doi.org/10.55640/jsshrf-03-11-10.

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Recently, there has been a lot of hype surrounding AI, bringing urgent concerns along with lots of myth, as the future of AI is still uncertain. While social media headlines warn that AI is about to outperform humans in near future, there's a good chance that attacks made possible by the increased application of AI will be very potent, precisely targeted, hard to identify, and likely to take advantage of holes in AI systems. This article analyzes the emerging security issues that are forming in the way AI is used in practice.

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Maynard, Trevor, Luca Baldassarre, Yves-Alexandre de Montjoye, Liz McFall, and María Óskarsdóttir. "AI: Coming of age?" Annals of Actuarial Science 16, no. 1 (2022): 1–5. http://dx.doi.org/10.1017/s1748499521000245.

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AbstractAI has had many summers and winters. Proponents have overpromised, and there has been hype and disappointment. In recent years, however, we have watched with awe, surprise, and hope at the successes: Better than human capabilities of image-recognition; winning at Go; useful chatbots that seem to understand your needs; recommendation algorithms harvesting the wisdom of crowds. And with this success comes the spectre of danger. Machine behaviours that embed the worst of human prejudice and biases; techniques trying to exploit human weaknesses to skew elections or prompt self-harming beha

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23

Anjum, Bushra. "A Conversation with Ken Holstein: Fostering human-AI complementarity." Ubiquity 2023, November (2023): 1–6. http://dx.doi.org/10.1145/3632842.

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Ubiquity's senior editor Dr. Bushra Anjum chats with Ken Holstein, an assistant professor at Carnegie Mellon University, where he leads the Co-Augmentation, Learning, & AI (CoALA) Lab. We discuss how, amidst all of the current AI hype, human ability and expertise remain underappreciated. Designing for complementarity in AI-augmented tooling ensures that domain-specific worker-facing AI systems are designed to bring out the best of human ability rather than simply attempting to, many a time incorrectly, automate them away.

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Nugroho, Vincentius Tangguh Atyanto, Endang Soelistiyowati, Alfelia Nugky Permatasari, and Carlos Iban. "Beyond the Hype: Local Engagement with AI-Generated Tourism Content." Jurnal Pariwisata Terapan 7, no. 2 (2024): 70. http://dx.doi.org/10.22146/jpt.96617.

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Travelers seeking authentic interactions with nature and culture are increasingly interested in destinations managed by the local community. Amidst the rising number of communities offering similar traveling experiences, operators seek a way to promote their destination and its distinctiveness. One of the ways to accentuate the particularity and the status of a tourist spot is by doing an online promotion in English, and artificial intelligence seems to open a window for its possibilities. This research aims to reveal how residents perceive the use of AI, including ChatGPT, in promoting their

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Cerratto Pargman, Teresa, Elin Sporrong, Alexandra Farazouli, and Cormac McGrath. "Beyond the Hype: Towards a Critical Debate About AI Chatbots in Swedish Higher Education." Högre utbildning 14, no. 1 (2024): 74–81. http://dx.doi.org/10.23865/hu.v14.6243.

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Interested in emerging technologies in higher education, we look at AI chatbots through the lens of human– technology mediations. We argue for shifting the focus from what higher education can do with AI chatbots to why AI chatbots are compelling for higher education’s raison-’être. We call for a critical debate examining the power of AI chatbots in configuring students as civic actors in an increasingly complex and digitalized society. We welcome a continuous and rigorous examination of generative AI chatbots and their impact on teaching practices and student learning in higher education.

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Banja, John. "AI Hype and Radiology: A Plea for Realism and Accuracy." Radiology: Artificial Intelligence 2, no. 4 (2020): e190223. http://dx.doi.org/10.1148/ryai.2020190223.

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Yesavage, Tiffany. "AI in Drug Design From Hype to Real-World Results." Genetic Engineering & Biotechnology News 44, no. 10 (2024): 28–31. http://dx.doi.org/10.1089/gen.44.10.13.

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Singh, Yashbir, Heenaben Patel, Diana V. Vera-Garcia, Quincy A. Hathaway, Deepa Sarkar, and Emilio Quaia. "Beyond the hype: Navigating bias in AI-driven cancer detection." Oncotarget 15, no. 1 (2024): 764–66. http://dx.doi.org/10.18632/oncotarget.28665.

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National, Press Associates. "BEYOND THE HYPE: A PRAGMATIC APPROACH TO SUCCESSFUL AI SOLUTIONS." National Research Journal of Human Resource Management 12, no. 1 (2025): 117–20. https://doi.org/10.5281/zenodo.15356822.

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Fraser, Steven, and Dennis Mancl. "The Future of Software Engineering Beyond the Hype of AI." ACM SIGSOFT Software Engineering Notes 50, no. 3 (2025): 40–42. https://doi.org/10.1145/3743095.3743102.

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ACM/IEEE ICSE 2025, the world's premiere software engineering conference, celebrated its 50th year. To mark the occasion, a panel of academics and practitioners was convened to discuss the future of software engineering. The panelists shared their views of how software engineering jobs will change, how software will continue to have an impact on society, and whether AI could be trusted to create secure software. The panel was organized and moderated by Steven Fraser (Innoxec) and Dennis Mancl (MSWX Software Experts). Panelists included Adriana Meza Soria (MIT-IBM Watson AI Lab), Landon Noll (i

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Surdu, Monica, and Traian Virgiliu Surdu. "The hype of artificial intelligence in neonatology: How close are we to real AI?" Newborn Research & Reviews 2, no. 3 (2024): 136–40. http://dx.doi.org/10.37897/newborn.2024.3.3.

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Background. Artificial intelligence (AI) use in medicine has rapidly evolved, offering significant advancements in patient monitoring and diagnosis. However, the application of AI in neonatology presents unique challenges compared to adult medicine. While adult patients can often be monitored and treated autonomously through AI-powered tools like telemedicine, newborns, particularly preterm infants, are entirely dependent on continuous human care. In neonatology, human interaction—especially the tactile and empathetic care provided by nurses and doctors—remains critical, and AI systems are not

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Surdu, Monica, and Traian Virgiliu Surdu. "The hype of artificial intelligence in neonatology: How close are we to real AI?" Newborn Research & Reviews 2, no. 4 (2024): 138–42. https://doi.org/10.37897/newborn.2024.4.4.

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Background. Artificial intelligence (AI) use in medicine has rapidly evolved, offering significant advancements in patient monitoring and diagnosis. However, the application of AI in neonatology presents unique challenges compared to adult medicine. While adult patients can often be monitored and treated autonomously through AI-powered tools like telemedicine, newborns, particularly preterm infants, are entirely dependent on continuous human care. In neonatology, human interaction—especially the tactile and empathetic care provided by nurses and doctors—remains critical, and AI systems are not

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Turaeva, A. R., and A. G. Mirzoyan. "Artificial Intelligence: Perspectives of Entrepreneurs and Investors." Scientific Research of Faculty of Economics. Electronic Journal 15, no. 4 (2023): 75–91. http://dx.doi.org/10.38050/2078-3809-2023-15-4-75-91.

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The paper analyzes the views of technology entrepreneurs and investors on artificial intelligence (AI). The study uses two data collection methods: interviews and questionnaires. Based on the results of the analysis, respondents' views on the main risks associated with the use of AI were revealed, as well as the expected effects from its use in emerging companies. Using ordinal logistic regression, it was revealed that the idea that AI is “hype” is negatively influenced by the experience of founding a company, as well as the use of AI in everyday life. Using the method of hierarchical clusteri

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Siems, Katrin, and Martin Spencker. "Editorial: Liebe Leserin, lieber Leser,." kma - Klinik Management aktuell 29, S 01 (2024): 3. http://dx.doi.org/10.1055/s-0044-1785547.

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die Digitalisierung des Gesundheitswesens hat inzwischen deutlich an Fahrt aufgenommen und mit dem Boom um Artificial Intelligence (AI) nochmals an Schwung gewonnen. Doch was kommt nach dem Hype um ChatGPT und Co.? Wie gelingt eine sinnvolle Integration von AI in die Versorgung? Was ist schon heute möglich und was ist Zukunftsmusik? Antworten auf diese Fragen finden wir, davon sind wir überzeugt, nur miteinander: im Dialog, in der Kollaboration, in gemeinsamen Visionen.

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Claude, Kouassi Konan Jean. "Understanding the Worldwide Paths Towards the Creation of True Intelligence for Machines." International Journal of Computer Science and Information Technology 15, no. 1 (2023): 44–68. http://dx.doi.org/10.5121/ijcsit.2023.15104.

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Nowadays, we remark that breakthroughs in the field of Artificial Intelligence (AI) suggesting its similarity with human beings, tremendous diversity of subfields and terminologies implied in the AI discipline, huge diversity of AI techniques, mistakes of AI and hype could lead to confusion about a clear understanding of the field (due to multiplicity of elements, brilliant successes, and senseless failures at the same time). In some cases, misunderstanding about AI led to hype, firing, and rude criticism even among many senior experts of the AI domain. Therefore, we detected the need for a sh

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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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Spyridou, Paschalia (Lia), and Maria Ioannou. "Exploring AI Amid the Hype: A Critical Reflection Around the Applications and Implications of AI in Journalism." Societies 15, no. 2 (2025): 23. https://doi.org/10.3390/soc15020023.

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Over the last decade, AI has increasingly been adopted by newsrooms in the form of different tools aiming to support journalists and augment the capabilities of the profession. The main idea behind the adoption of AI is that it can make journalists’ work more efficient, freeing them up from some repetitive or routine tasks while enhancing their research and storytelling techniques. Against this idea, and drawing on the concept of “hype”, we employ a critical reflection on the lens often used to talk about journalism and AI. We suggest that the severe sustainability crisis of journalism, rooted

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Labouchère, Ania, and Wassim Raffoul. "ChatGPT and Bard in Plastic Surgery: Hype or Hope?" Surgeries 5, no. 1 (2024): 37–48. http://dx.doi.org/10.3390/surgeries5010006.

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Online artificial intelligence (AI) tools have recently gained in popularity. So-called “generative AI” chatbots unlock new opportunities to access vast realms of knowledge when being prompted by users. Here, we test the capabilities of two such AIs in order to determine the benefits for plastic surgery while also assessing the potential risks. Future developments are outlined. We used the online portals of OpenAI’s ChatGPT (version 3.5) and Google’s Bard to ask a set of questions and give specific commands. The results provided by the two tools were compared and analyzed by a committee. For p

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Brams, Steven J. "A game that poses a challenge to artificial intelligence." Open Access Government 44, no. 1 (2024): 274–75. http://dx.doi.org/10.56367/oag-044-11694.

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A game that poses a challenge to artificial intelligence Steven J. Brams, hailing from New York University, unveils a game that poses a challenge to artificial intelligence. Artificial intelligence (AI) has enormous promise and huge risk. It is poised to become a significant disruptive force. However, much of the analysis of AI in the popular media leans on hype rather than fact. Understanding how AI functions, along with appraising some of its strengths, blind spots, and weaknesses, may help to demystify this technology and allow us to assess its risks and potential more realistically.

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Powell, Alison, and Fenwick McKelvey. "AI policymaking as drama." Journal of Digital Social Research 6, no. 4 (2024): 77–91. https://doi.org/10.33621/jdsr.v6i440468.

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As two researchers faced with the prospect of still more knowledge mobilisation, and still more consultation, our manuscript critically reflects on strategies for engaging with consultations as critical questions in critical AI studies. Our intervention reflects on the often-ambivalent roles of researchers and ‘experts’ in the production, contestation, and transformation of consultations and the publicities therein concerning AI. Although ‘AI’ is increasingly becoming a marketing term, there are still substantive strategic efforts toward developing AI industries. These policy consultations do

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Eisenstein, Michael. "AI in Drug Discovery Starts to Live Up to the Hype." Genetic Engineering & Biotechnology News 41, no. 4 (2021): 38–40. http://dx.doi.org/10.1089/gen.41.04.13.

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Markelius, Alva, Connor Wright, Joahna Kuiper, Natalie Delille, and Yu-Ting Kuo. "The mechanisms of AI hype and its planetary and social costs." AI and Ethics, April 2, 2024. http://dx.doi.org/10.1007/s43681-024-00461-2.

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AbstractOur global landscape of emerging technologies is increasingly affected by artificial intelligence (AI) hype, a phenomenon with significant large-scale consequences for the global AI narratives being created today. This paper aims to dissect the phenomenon of AI hype in light of its core mechanisms, drawing comparisons between the current wave and historical episodes of AI hype, concluding that the current hype is historically unmatched in terms of magnitude, scale and planetary and social costs. We identify and discuss socio-technical mechanisms fueling AI hype, including anthropomorph

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Barrow, Nicholas. "Anthropomorphism and AI hype." AI and Ethics, March 25, 2024. http://dx.doi.org/10.1007/s43681-024-00454-1.

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AbstractAs humans, we have an innate tendency to ascribe human-like qualities to non-human entities. Whilst sometimes helpful, such anthropomorphic projections are often misleading. This commentary considers how anthropomorphising AI contributes to its misrepresentation and hype. First, I outline three manifestations (terminology; imagery; and morality). Then, I consider the extent to which we ought to mitigate it.

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Bourne, Clea. "AI hype, promotional culture, and affective capitalism." AI and Ethics, May 6, 2024. http://dx.doi.org/10.1007/s43681-024-00483-w.

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AbstractThis article centres AI hype within promotional culture. It incorporates scholarship on hype, affect and emotion from media, communications and cultural studies, as well as from market studies, to pose the following questions: ‘What role does promotional culture play in AI hype cycles?’ ‘What are the main promotional forms of emotion evident in the 2020s AI hype cycle?’ And finally, ‘What are the ethical implications of promoting emotion in AI hype cycles?’ The article explores the growth of twenty-first century promotional culture, particularly in the global tech sector, before examin

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Monteith, Scott, Tasha Glenn, John R. Geddes, et al. "Patient and Physician Exposure to Artificial Intelligence Hype." Pharmacopsychiatry, May 12, 2025. https://doi.org/10.1055/a-2577-7214.

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AbstractBoth patients and physicians are routinely exposed to the corporate promotion of artificial intelligence (AI) for healthcare products. Hype for AI products may impact both patient behavior and attitudes about healthcare. Corporate AI hype may intentionally overlook the known limitations associated with AI products and focus solely on potential benefits. As AI is increasingly integrated into medicine, physicians are also routinely subject to AI hype. As the promotion and use of AI products have grown dramatically in recent years, physicians should be aware of the potential benefits and

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McAra-Hunter, Dawn. "How AI hype impacts the LGBTQ + community." AI and Ethics, February 14, 2024. http://dx.doi.org/10.1007/s43681-024-00423-8.

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AbstractHype around Artificial Intelligence (AI) has been a feature of this technology since its inception. However, the most recent wave of AI hype has been leveraged to encourage adoption of AI technologies that cause issues for marginalised communities. Hype is also a means to obfuscate real issues of bias, harm, and exploitation felt most sharply by marginalised communities when AI is implemented. This therefore raises the question of power imbalances as a feature of AI technologies as we currently know them. This paper will study the relationship of AI hype and marginalised communities, w

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JYLKÄS, Titta, Andrea AUGSTEN, and Satu MIETTINEN. "From Hype to Practic." Conference Proceedings of the Academy for Design Innovation Management 2, no. 1 (2019). http://dx.doi.org/10.33114/adim.2019.04.349.

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With the rise of artificial intelligence (AI) in the past decade, AI has become known in everyday products and services. One of its application forms is that of AI assistants, such as voice assistants and chatbots. While new types of customer service channels have been introduced through these assistants, until now, the intelligence of AI has mostly resided in the backend systems of services. Studying a service design process and practices focussing on AI-enabled services, the present research draws on a multi-method approach involving seven expert interviews and five use cases on AI assistant

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LaGrandeur, Kevin. "The consequences of AI hype." AI and Ethics, October 4, 2023. http://dx.doi.org/10.1007/s43681-023-00352-y.

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Vrabič Dežman, Dominik. "Promising the future, encoding the past: AI hype and public media imagery." AI and Ethics, April 3, 2024. http://dx.doi.org/10.1007/s43681-024-00474-x.

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AbstractIn recent years, “AI hype” has taken over public media, oscillating between sensationalism and concerns about the societal implications of AI growth. The latest historical wave of AI hype indexes a period of increased research, investment, and speculation on machine learning, centred around generative AI, a novel class of machine learning that can generate original media from textual prompts. In this paper, I dive into the production of AI hype in online media, with the aim of prioritising the normative and political dimension of AI hype. Formulating AI as a promise reframes it as a no

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Jesper, Dramsch. "The siren call of AI alignment: How can scientists avoid harm while using Machine Learning?" December 13, 2023. https://doi.org/10.5281/zenodo.10370081.

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Everyone has read at least one paper lately that started "Machine learning has made an impact in the entire field". Doesn't matter which field. Then ChatGPT happened, and even those peddling crypto and web3 suddenly talked about AI. We've got AI hype on top of our AI hype.

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