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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 […]

[…] 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 […]

[…] public and private sector to serve for a term of 5 years that is renewable once. This rule exempts the National Commissioner, who will serve as the Secretary to the Council. The Council is tasked with providing overall policy direction of the affairs of the Commission, approving strategic and action plans, budgeting support programs […]

[…] 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 […]

[…] the Review Report’s proposal to grant the OAIC the power to determine codes of practice, the Report proposes that the OAIC should issue a “Children’s Online Privacy Code” for online services that are likely to be accessed by children. The Code would align with the UK’s Age Appropriate Design Code, and would provide guidance […]

[…] in California AADC, Section 2 defines “substantial harm or privacy risk” to include: mental health disorders; addictive behaviors; physical violence, online bullying and harassment; sexual exploitation; the promotion and marketing or tobacco, gambling, alcohol, or narcotic drugs; and predatory, unfair, or deceptive marketing practices or other financial harms. Both the California AADC and Section […]