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To prevent harm, in addition to regulation, AI-deploying organizations need to play a central role in creating and deploying trustworthy AI in line with the principles of trustworthy AI, and take accountability to mitigate the risks. [80] On 21 April 2021, the European Commission proposed the Artificial Intelligence Act. [81]
GPAI seeks to bridge the gap between theory and practice by supporting research and applied activities in areas that are directly relevant to policymakers in the realm of AI. [3] It brings together experts from industry, civil society, governments, and academia to collaborate on the challenges and opportunities presented by artificial intelligence.
The response provided examples of PAI’s work related to AI risk management, such as the Safety Critical AI report on responsible publication of AI research, the ABOUT ML project on documentation and transparency in machine learning lifecycles, and the AI Incident Database. [11]
The panel featured TIME 100 AI honorees Jade Leung, CTO at the U.K. AI Safety Institute, an institution established last year to evaluate the capabilities of cutting-edge AI models; Victor ...
The OECD AI Principles [58] were adopted in May 2019, and the G20 AI Principles in June 2019. [55] [59] [60] In September 2019 the World Economic Forum issued ten 'AI Government Procurement Guidelines'. [61] In February 2020, the European Union published its draft strategy paper for promoting and regulating AI. [34]
Trustworthy AI is also a work programme of the International Telecommunication Union, an agency of the United Nations, initiated under its AI for Good programme. [2] Its origin lies with the ITU-WHO Focus Group on Artificial Intelligence for Health, where strong need for privacy at the same time as the need for analytics, created a demand for a standard in these technologies.
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