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Investing in AI for social good: an analysis of European national strategies
16 references·10 citing·43 second hop
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this work references cited by second hop

References

  • 2014Constructing grounded theory15,747 cited
  • 2019Dissecting racial bias in an algorithm used to manage the health of populations7,086 cited
  • 2019The global landscape of AI ethics guidelines6,172 cited
  • 2020The role of artificial intelligence in achieving the Sustainable Development Goals3,281 cited
  • 2020The Ethics of AI Ethics: An Evaluation of Guidelines1,900 cited
  • 2020Principled Artificial Intelligence: Mapping Consensus in Ethical and Rights-Based Approaches to Principles for AI998 cited
  • 2019From What to How: An Initial Review of Publicly Available AI Ethics Tools, Methods and Research to Translate Principles into Practices879 cited
  • 2021Education for AI, not AI for Education: The Role of Education and Ethics in National AI Policy Strategies489 cited
  • 2020How to Design AI for Social Good: Seven Essential Factors429 cited
  • 2018Constitutional democracy and technology in the age of artificial intelligence418 cited
  • 2019The Role and Limits of Principles in AI Ethics399 cited
  • 2020AI for social good: unlocking the opportunity for positive impact356 cited
  • 2019The EU Approach to Ethics Guidelines for Trustworthy Artificial Intelligence355 cited
  • 2021Steering the governance of artificial intelligence: national strategies in perspective251 cited

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  • 2020Overcoming Barriers to Cross-cultural Cooperation in AI Ethics and Governance189 cited
  • 2017Artificial Intelligence Policy: A Roadmap177 cited
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    • 2025Good governance of public sector AI: a combined value framework for good order and a good society25 cited
    • 2024Imagining and governing artificial intelligence: the ordoliberal way—an analysis of the national strategy ‘AI made in Germany’22 cited
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