This chapter discusses the emerging field of data ethics and ethics of AI. It starts with the notion of Big Data and the non-neutrality of data practices. It then turns to artificial intelligence, discussing its history and functioning and questions of agency and responsibility. Following this, the chapter delves into three core principles in AI and data ethics: privacy, fairness, and accountability. It concludes with discussing some important standards and regulations for AI and data ethics, like the GDPR.

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Thinking Machines

  • Wessel Reijers,
  • Mark Thomas Young,
  • Mark Coeckelbergh

摘要

This chapter discusses the emerging field of data ethics and ethics of AI. It starts with the notion of Big Data and the non-neutrality of data practices. It then turns to artificial intelligence, discussing its history and functioning and questions of agency and responsibility. Following this, the chapter delves into three core principles in AI and data ethics: privacy, fairness, and accountability. It concludes with discussing some important standards and regulations for AI and data ethics, like the GDPR.