Difference between revisions of "Bridging AI's Trust Gap (2020) (EY)"
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https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/ai/ey-bridging-ais-trust-gaps-report-2020.pdf | == Introduction == | ||
The rapid development of artificial intelligence (AI) is raising urgent questions about ethical and consumer protection issues — from potential bias in algorithmic recruiting decisions to the privacy implications of health monitoring applications. Policymakers have been exploring these issues in depth and are well aligned on identifying the most important ethical principles. They have now reached a pivotal point: moving from articulating principles to implementing public policy. | |||
=== Link to resource === | |||
[https://assets.ey.com/content/dam/ey-sites/ey-com/en_gl/topics/ai/ey-bridging-ais-trust-gaps-report-2020.pdf Bridging AI's Trust Gap (2020) Report] | |||
[[Category:Report]] | [[Category:Report]] | ||
[[Category:Ethics]] | [[Category:Ethics]] | ||
[[Category: | [[Category:Public_Sector_Users]] | ||
[[Category:Entrepreneurs]] | [[Category:Entrepreneurs]] | ||
[[Category:Data Science]] | [[Category:Data Science]] | ||
[[Category:Policy]] | [[Category:Policy]] | ||
Latest revision as of 15:22, 14 November 2022
Introduction
The rapid development of artificial intelligence (AI) is raising urgent questions about ethical and consumer protection issues — from potential bias in algorithmic recruiting decisions to the privacy implications of health monitoring applications. Policymakers have been exploring these issues in depth and are well aligned on identifying the most important ethical principles. They have now reached a pivotal point: moving from articulating principles to implementing public policy.