The limitation of ethics-based approaches to regulating artificial intelligence: regulatory gifting in the context of Russia

Papyshev, Gleb; Yarime, Masaru

doi:10.1007/s00146-022-01611-y

Cited by 5 publications

(5 citation statements)

References 46 publications

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“…The widespread development and use of AI made ethics guidelines and other AI governance mechanisms a key policy area in many jurisdictions around the globe. Next to the USA, China, and Japan, the European Union has focused on developing new AI-related policies and laws [58,86,125]. The recent scandals linked to the abuses and misuses of AI, coupled with the growing willingness to fill the gap with the USA and China [17] and gain a competitive edge to become agenda-setters [23,118], prompted the European Commission to call for a coordinated regulatory approach to AI.…”

Section: Policymaking and Regulationmentioning

confidence: 99%

Digital ethicswashing: a systematic review and a process-perception-outcome framework

Schultz,

Conti,

Seele

2024

AI Ethics

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The term “ethicswashing” was recently coined to describe the phenomenon of instrumentalising ethics by misleading communication, creating the impression of ethical Artificial Intelligence (AI), while no substantive ethical theory, argument, or application is in place or ethicists involved. Ethicswashing resembles greenwashing for environmental issues and has become an issue – particularly since 2019 with Thomas Metzinger’s harsh criticisms as a member of the EU panel for developing ethical guidelines for AI, which he called “ethicswashing.” Nowadays, increased ethics washing has changed the perception of AI ethics, leading critics to find a “trivialization” of ethics that may even lead to “ethics bashing.” Considering the scattered literature body and the various manifestations of digital ethicswashing, we recognise the need to assess the existing literature comprehensively. To fill this gap, this research systematically reviews current knowledge about digital ethicswashing stemming from various academic disciplines, contributing to an up-to-date assessment of its underlying characteristics. Applying content analysis to map the field leads us to present five thematic clusters: ethicswashing, ethics bashing, policymaking and regulation, watchdogs, and academia. In conclusion, we synthesise ethicswashing along a process-perception-outcome framework to provide future research to explore the multiple meanings of digital ethicswashing.

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Section: Policymaking and Regulationmentioning

confidence: 99%

Digital ethicswashing: a systematic review and a process-perception-outcome framework

Schultz,

Conti,

Seele

2024

AI Ethics

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“…The limitation of contextual intelligence in AI arises from the fact that creating an AI system that fully comprehends and interprets context in the same way as humans do, is a complex challenge. While AI has shown remarkable advancements in various domains, achieving human-level contextual understanding remains elusive [95].…”

Section: A Contextual Intelligencementioning

confidence: 99%

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond

Nasir,

Khan,

Bai

2024

IEEE Access

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In the past decade, the deployment of deep learning (Artificial Intelligence (AI)) methods has become pervasive across a spectrum of real-world applications, often in safety-critical contexts. This comprehensive research article rigorously investigates the ethical dimensions intricately linked to the rapid evolution of AI technologies, with a particular focus on the healthcare domain. Delving deeply, it explores a multitude of facets including transparency, adept data management, human oversight, educational imperatives, and international collaboration within the realm of AI advancement. Central to this article is the proposition of a conscientious AI framework, meticulously crafted to accentuate values of transparency, equity, answerability, and a human-centric orientation. The second contribution of the article is the in-depth and thorough discussion of the limitations inherent to AI systems. It astutely identifies potential biases and the intricate challenges of navigating multifaceted contexts. Lastly, the article unequivocally accentuates the pressing need for globally standardized AI ethics principles and frameworks. Simultaneously, it aptly illustrates the adaptability of the ethical framework proposed herein, positioned skillfully to surmount emergent challenges.

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“…This gift was intentionally designed because the government thought that prioritizing local innovation over consumer protection would benefit the public. However, the gift can also unintentionally undermine the public interest by providing an opportunity for ethics washing (Papyshev, Yarime, 2022).…”

Section: )mentioning

confidence: 99%

Ethics of artificial intelligence

Rios-Campos,

Tejada-Castro,

Viteri

et al. 2023

S. F. J. of Dev.

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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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The limitation of ethics-based approaches to regulating artificial intelligence: regulatory gifting in the context of Russia

Cited by 5 publications

References 46 publications

Digital ethicswashing: a systematic review and a process-perception-outcome framework

Digital ethicswashing: a systematic review and a process-perception-outcome framework

Ethical Framework for Harnessing the Power of AI in Healthcare and Beyond

Ethics of artificial intelligence

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