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 | 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. | ||
[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]] | ||
Revision as of 16:21, 10 October 2022
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.