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Sustainable AI : An inventory of the state of knowledge of ethical, social, and legal challenges related to artificial intelligence

På svenska

Author

  • Stefan Larsson
  • Mikael Anneroth
  • Anna Felländer
  • Li Felländer-Tsai
  • Fredrik Heintz
  • Rebecka Cedering Ångström

Summary, in English

This report is an inventory of the state of knowledge of ethical, social, and legal challenges related to artificial intelligence conducted within the Swedish Vinnova-funded project “Hållbar AI – AI Ethics and Sustainability”, led by Anna Felländer. Based on a review and mapping of reports and studies, a quantitative and bibliometric analysis, and in-depth analyses of the healt- care sector, the telecom sector, and digital platforms, the report proposes three recommendations. Sustainable AI requires: 1. a broad focus on AI governance and regulation issues, 2. promoting multi-disciplinary collaboration, and 3. building trust in AI applications and applied machine-learning, which is a matter of key importance and requires further study of the relationship between transparency and accountability.

Publishing year

2019-04-09

Language

English

Document type

Report

Publisher

AI Sustainability Center

Topic

  • Computer Science
  • Sociology (excluding Social Work, Social Psychology and Social Anthropology)

Keywords

  • Sustainable AI
  • AI
  • AI transparency
  • AI ethics
  • explainable AI
  • AI accountability
  • Sustainable AI
  • AI ethics
  • trustworthy AI
  • AI transparency
  • Fairness
  • Accountability
  • FAT
  • Multidisciplinarity
  • Trust
  • Trusted AI

Status

Published

Project

  • Lund University AI Research
  • DATA/TRUST: Tillitsbaserad personuppgiftshantering i den digitala ekonomin
  • Hållbar AI - AI Ethics and Sustainability