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Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach · Study

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Artificial Intelligence and the 'Good Society': The US, EU, and UK Approach

Corinne Cath, Sandra Wachter, Brent Mittelstadt, Mariarosaria Taddeo, Luciano Floridi

2016-01-01articleScience and Engineering Ethics732 citationsgreen

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Ethics and Social Impacts of AI Digitalization, Law, and Regulation Innovation, Sustainability, Human-Machine Systems

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Citations in this library

Stored only when both papers are in the corpus — 732 citations exist upstream.

References

2016The ethics of algorithms: Mapping the debate

2016Seeing without knowing: Limitations of the transparency ideal and its application to algorithmic accountability

2016What is data ethics?

2015Regulating Artificial Intelligence Systems: Risks, Challenges, Competencies, and Strategies

2016Why a Right to Explanation of Automated Decision-Making Does Not Exist in the General Data Protection Regulation

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2018Artificial Intelligence and the Public Sector—Applications and Challenges

2021Implications of the use of artificial intelligence in public governance: A systematic literature review and a research agenda

2019Rulers of the world, unite! The challenges and opportunities of artificial intelligence

2019Translating Principles into Practices of Digital Ethics: Five Risks of Being Unethical

2021Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies

2020The Dark Sides of Artificial Intelligence: An Integrated AI Governance Framework for Public Administration

2021Artificial Intelligence Regulation: a framework for governance

2020What to account for when accounting for algorithms

Details

Year2016

Typearticle

VenueScience and Engineering Ethics

Languageen

Files0 public / 0

Identifiers

doi10.1007/s11948-017-9901-7

openalex_workW2580906503

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