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[…] privacy and data protection programs, with also leading AI governance efforts. Their job descriptions reflect this trend, with titles like Chief AI Officer becoming more common. This mirrors a general trend towards the integration of AI governance responsibilities into privacy management responsibilities. 3 It is worth noting that FPF’s research indicates that CPOs and […]

[…] privacy and data protection programs, with also leading AI governance efforts. Their job descriptions reflect this trend, with titles like Chief AI Officer becoming more common. This mirrors a general trend towards the integration of AI governance responsibilities into privacy management responsibilities. 3 It is worth noting that FPF’s research indicates that CPOs and […]

[…] privacy and data protection programs, with also leading AI governance efforts. Their job descriptions reflect this trend, with titles like Chief AI Officer becoming more common. This mirrors a general trend towards the integration of AI governance responsibilities into privacy management responsibilities. 3 It is worth noting that FPF’s research indicates that CPOs and […]

[…] https://www.esafety.gov.au/industry/tech-trends-and-challenges/generative-ai 33 https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_as sets/Safe-and-responsible-AI- in-Australia-discussion-paper.pdf 34 https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_as sets/safe-and-responsible-ai- in-australia-governments-interim-response.pdf 35 https://dp-reg.gov.au/publications/working-paper-2-examination-technology-large-language-models 36 http://www.cac.gov.cn/2022-12/11/c_1672221949354811.htm 37 http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm 38 https://www.tc260.org.cn/upload/2024-03-01/1709282398070082466.pdf 39 https://www.ppc.go.jp/files/pdf/230602_kouhou_houdou.pdf 40 https://www.meti.go.jp/press/2024/04/20240419004/20240419004.html 41 https://aiverifyfoundation.sg/downloads/Discussion_Paper.pdf 42 https://aiverifyfoundation.sg/downloads/Proposed_MGF_Gen_AI_2024.pdf 43 https://www.pipc.go.kr/np/cop/bbs/selectBoardArticle.do?bbsId=BS074&mCode=C020010000&nttId=9055# LINK 44 https://www.pipc.go.kr/np/cop/bbs/selectBoardArticle.do?bbsId=BS074&mCode=C020010000&nttId=9083 45 Commonly referred to as “hallucinations.” 46 Supra n 6. 47 Ibid. 48 https://ico.org.uk/media/about-the-ico/documents/4026232/joint-statement-data-scrapi ng-202308.pdf 49 Tirumala, K. et al. (2022). “Memorization Without Overfitting: […]

[…] https://www.chiefscientist.gov.au/sites/default/files/2023-06/Rapid%20Response%20Information%20Report%20-%20Generative%20AI%20v1_1.pdf 32 https://www.esafety.gov.au/industry/tech-trends-and-challenges/generative-ai 33 https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_as sets/Safe-and-responsible-AI-in-Australia-discussion-paper.pdf 34 https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_as sets/safe-and-responsible-ai-in-australia-governments-interim-response.pdf 35 https://dp-reg.gov.au/publications/working-paper-2-examination-technology-large-language-models 36 http://www.cac.gov.cn/2022-12/11/c_1672221949354811.htm 37 http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm 38 https://www.tc260.org.cn/upload/2024-03-01/1709282398070082466.pdf 39 https://www.ppc.go.jp/files/pdf/230602_kouhou_houdou.pdf 40 https://www.meti.go.jp/press/2024/04/20240419004/20240419004.html 41 https://aiverifyfoundation.sg/downloads/Discussion_Paper.pdf 42 https://aiverifyfoundation.sg/downloads/Proposed_MGF_Gen_AI_2024.pdf 43 https://www.pipc.go.kr/np/cop/bbs/selectBoardArticle.do?bbsId=BS074&mCode=C020010000&nttId=9055# LINK 44 https://www.pipc.go.kr/np/cop/bbs/selectBoardArticle.do?bbsId=BS074&mCode=C020010000&nttId=9083 45 Commonly referred to as “hallucinations.”46 Supra n 6. 47 Ibid . 48 https://ico.org.uk/media/about-the-ico/documents/4026232/joint-statement-data-scrapi ng-202308.pdf 49 Tirumala, K. et al. (2022). “Memorization Without Overfitting: […]

[…] data protection laws either require or incentivize an organization processing personal data to take steps to reduce the data’s identifiability or the likelihood that data could be linked, directly or indirectly, to a specific identified or identifiable person. 34 An analysis of legal re- identification risk typically includes the existence Confidential Computing and Privacy: […]

[…] https://www.chiefscientist.gov.au/sites/default/files/2023-06/Rapid%20Response%20Information%20Report%20-%20Generative%20AI%20v1_1.pdf 32 https://www.esafety.gov.au/industry/tech-trends-and-challenges/generative-ai 33 https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_as sets/Safe-and-responsible-AI-in-Australia-discussion-paper.pdf 34 https://storage.googleapis.com/converlens-au-industry/industry/p/prj2452c8e24d7a400c72429/public_as sets/safe-and-responsible-ai-in-australia-governments-interim-response.pdf 35 https://dp-reg.gov.au/publications/working-paper-2-examination-technology-large-language-models 36 http://www.cac.gov.cn/2022-12/11/c_1672221949354811.htm 37 http://www.cac.gov.cn/2023-07/13/c_1690898327029107.htm 38 https://www.tc260.org.cn/upload/2024-03-01/1709282398070082466.pdf 39 https://www.ppc.go.jp/files/pdf/230602_kouhou_houdou.pdf 40 https://www.meti.go.jp/press/2024/04/20240419004/20240419004.html 41 https://aiverifyfoundation.sg/downloads/Discussion_Paper.pdf 42 https://aiverifyfoundation.sg/downloads/Proposed_MGF_Gen_AI_2024.pdf 43 https://www.pipc.go.kr/np/cop/bbs/selectBoardArticle.do?bbsId=BS074&mCode=C020010000&nttId=9055# LINK 44 https://www.pipc.go.kr/np/cop/bbs/selectBoardArticle.do?bbsId=BS074&mCode=C020010000&nttId=9083 45 Commonly referred to as “hallucinations.”46 Supra n 6. 47 Ibid . 48 https://ico.org.uk/media/about-the-ico/documents/4026232/joint-statement-data-scrapi ng-202308.pdf 49 Tirumala, K. et al. (2022). “Memorization Without Overfitting: […]

[…] data protection laws either require or incentivize an organization processing personal data to take steps to reduce the data’s identifiability or the likelihood that data could be linked, directly or indirectly, to a specific identified or identifiable person. 34 An analysis of legal re- identification risk typically includes the existence FUTURE OF PRIVACY FORUM […]

[…] data protection laws either require or incentivize an organization processing personal data to take steps to reduce the data’s identifiability or the likelihood that data could be linked, directly or indirectly, to a specific identified or identifiable person. 34 An analysis of legal re- identification risk typically includes the existence FUTURE OF PRIVACY FORUM […]