Artificial Intelligence and the ‘Good Society’: the US, EU, and UK approach

By Corinne Cath, Sandra Wachter, Brent Daniel Mittelstadt, Mariarosaria Taddeo, Luciano Floridi. Science and Engineering Ethics, 2017

653 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Health Informatics, Safety Research

View Paper: https://www.semanticscholar.org/paper/4ef6104e89eaaa6c30ac998cbfc6daed04b35af9

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Citations in the corpus

Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical (2019, background): “This is understandable: digital technologies — from web-based services to Artificial Intelligence (AI) solutions — increasingly affect the daily lives of billions of people, so there are many hopes but also concerns about their design, development, and deployment (Cath et al. 2018).”
Artificial intelligence in education: Addressing ethical challenges in K-12 settings (2021, background): “For example, the European Union (EU) has highlighted ethical concerns and implications of AI, emphasized privacy protection, surveillance, and nondiscrimination as primary areas of interest, and provided guidelines on how trustworthy AI should be [3, 15, 23].”
The ethics of AI in health care: A mapping review. (2020, background): “…administrators increasingly believe that the answer may well lie in making healthcare systems more informationally mature and able to capitalise on the opportunities presented by AI-Health significantly to improve outcomes for patients, and to reduce the burdens on the system (Cath et al., 2017).”
Artificial intelligence in business: State of the art and future research agenda (2020, background): “Cath, Wachter, Mittelstadt, Taddeo, and Floridi (2018) highlight and compare the three reports that the White House, the European Parliament, and the United Kingdom House of Commons, each delivered in 2016, regarding their visions on how to prepare society for the widespread use of AI.”
Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies (2021, background): “And while prior work has assessed the role of ethical principles at a general level in AI policy documents (Cath et al. 2018; Daly et al. 2019; Dutton et al. 2018; Gibert et al. 2018), to my knowledge, no prior work looks intensively at the topic of education, nor at how AI ethics considerations…”
What to account for when accounting for algorithms: a systematic literature review on algorithmic accountability (2020, background): “One may also wonder what they can explain/disclose about how the system’s decision came to be to, the data subject or other kinds of fora [37, 44, 53, 54, 135].”
Opportunities and Challenges in Explainable Artificial Intelligence (XAI): A Survey (2020, background): “Recent interest in XAI, even from governments especially with the European General Data Protection Regulation (GDPR) [21] regulation, shows the important realization of the ethics [22]–[26], trust [27]–[29], bias [30]–[33] of AI, as well as the”
Artificial Intelligence: the global landscape of ethics guidelines (2019, background): “Most ethics guidelines are released in the United States (n=20) and within the European Union (19), followed by the United Kingdom (14) and Japan (4).”
Artificial Intelligence and the Public Sector—Applications and Challenges (2018, background): “Due to the advancements in speech, gesture and pattern recognition, AI can substantially change our interactions (Cath et al., 2018) and future H2M interaction is said to be characterized by systems that can anticipate movements of humans and can be steered by voice, gesture and environment…”