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Keywords and Topics
"Principles for Algorithmic Transparency and Accountability"
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Principles for Algorithmic Transparency and Accountability
Principles for Algorithmic Transparency and
Institutions should be held
for decisions made by the algorithms that they use, even if it is not feasible to explain in detail how the algorithms produce their results.
Institute of Automation, Chinese Academy of Sciences
95 Zhongguancun East Road,
Haidian District, Beijing,
Principal Investigator - Yi Zeng
Contributors: Cunqing Huangfu, Enmeng Lu, Zizhe Ruan et al.
Research Center for Brain-inspired Intelligence, Institute of Automation, Chinese Academy of Sciences
China-UK Research Centre for AI Ethics and Governance
Research Center for AI Ethics and Sustainable Development, Beijing Academy of Artificial Intelligence
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