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How should we regulate artificial intelligence?
4 references·16 citing·53 second hop
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References

  • 2016How the machine ‘thinks’: Understanding opacity in machine learning algorithms3,179 cited
  • 2016The social dilemma of autonomous vehicles1,520 cited
  • 20196th SGEM International Multidisciplinary Scientific Conferences on SOCIAL SCIENCES and ARTS Proceedings, Modern Science1,298 cited
  • 2006Data mining to improve personnel selection and enhance human capital: A case study in high-technology industry458 cited

Cited by

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  • 2021How to Design AI for Social Good: Seven Essential Factors162 cited
  • 2019Understanding artificial intelligence ethics and safety145 cited
  • 2023Mission AI127 cited
  • 2018The growing ubiquity of algorithms in society: implications, impacts and innovations120 cited
  • 2019Defining the Scope of AI Regulations98 cited
  • 2023Towards Risk‐Free Trustworthy Artificial Intelligence: Significance and Requirements91 cited
  • 2019Designing AI for Social Good: Seven Essential Factors83 cited
  • 2018Data Protection, Artificial Intelligence and Cognitive Services: Is the General Data Protection Regulation (GDPR) ‘Artificial Intelligence-Proof’?64 cited
  • 2022From the “rush to ethics” to the “race for governance” in Artificial Intelligence

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59 cited
  • 2022To regulate or not to regulate: unravelling institutional tussles around the regulation of algorithmic control of digital platforms37 cited
  • 2023High tech and legal challenges: Artificial intelligence-caused damage regulation35 cited
  • 2024Regulating generative AI: The limits of technology-neutral regulatory frameworks. Insights from Italy's intervention on ChatGPT33 cited
  • 2024Investigating the politics and content of US State artificial intelligence legislation28 cited
  • 2020Artificial Intelligence Regulation: A Meta-Framework for Formulation and Governance24 cited
  • 2022An Ecosystem Framework of AI Governance18 cited