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Today, the Future of Privacy Forum (FPF) releases the Generative AI for Organizational Use: Internal Policy Checklist. With the proliferation of employee use of generative AI tools, this checklist provides organizations with a powerful tool to help revise their internal policies and procedures to ensure that employees are using generative AI in a way that […]

[…] topics discussed during the event, particularly in relation to the interplay between the current AI draft bill and Brazil’s General Data Protection Law (LGPD). The webinar’s opening welcomed Waldemar Gonçalves (President, ANPD, Brazil), Eduardo Gomes (Senator of the Republic, Brazil), and Estela Aranha, (Special Advisor, Ministry of Justice and Public Security, Brazil). The panel […]

[…] had adopted a separate and detailed Statement on generative AI. In his keynote, Commissioner Shuhei Ohshima remarked that “generative AI adoption has increased significantly.” In order to promote trustworthy deployment and use of the new technology “the importance of DPAs is increasing also on a daily basis,” the Commissioner added. Generative AI is not […]

[…] up to the age of 17 (although CT SB 3 creates similar protections for 13-17-year olds), child-directed privacy and online safety laws, including the California Age-Appropriate Design Code and Utah Senate Bill 152, have increasingly applied to the data and activity of teenagers up to age 17. 4. Expanded Rights to Access and Delete […]

[…] sensitive data, adequate steps for data breach notification, conducting DPIAs, or issuing data localization regulations for specific categories of personal data.   Other functions of the Commission include promoting public awareness and understanding of personal data protection, the rights and obligations imposed under the law, and the risks to personal data; receiving complaints alleging violations […]

[…] it is important to note that industrial policies from both central and local governments in China also exert substantial influence over the sector. Critically, the task to promote AI advancement amid escalating concerns is overseen by authorities other than the CAC, such as the Ministry of Science and Technology (“MST”) and the Ministry of […]

[…] features, including a mechanism to report “harmful or unwanted” behavior. The children’s and health provisions of SB 3 appear to be informed by the California Age-Appropriate Design Code (AADC) and the recently enacted Washington State My Health, My Data Act, respectively, but contain numerous important distinctions.  FPF has prepared a comparison chart to help […]

[…] alongside technological and societal developments. The Model Framework is also technology-, industry-, scale- and business-model agnostic.  Substantively, the Model Framework is guided by two fundamental principles to promote trust and understanding in AI. First, organizations using AI in decision-making should ensure that the decision-making process is explainable, transparent and fair. Second, AI systems should […]