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FPF’s “Data and the Connected Vehicle” Demystifies Connected Car Ecosystem as Policymakers Look to Regulate SEPT. 16, 2024 — Vehicle technologies are evolving rapidly, in every facet of the system, from safety features to entertainment, and occupant convenience. Many of these new features are enabled by the collection of driver and occupant data – […]

[…] U.S. states. As artificial intelligence (AI) becomes increasingly embedded in daily life and critical sectors like healthcare and employment, state lawmakers have begun crafting regulatory strategies to promote its opportunities while addressing its heightened risks. This report by FPF delves into the trends of these legislative efforts, examines core questions and issues, and offers […]

Future of Privacy Forum Award Elevates Privacy Research to Inform Policy Discussion September 9, 2024 —The Future of Privacy Forum (FPF) invites scholars and authors with an interest in privacy issues to submit finished papers to be considered for its 15th annual Privacy Papers for Policymakers (PPPM) Awards.  The award provides privacy and data […]

[…] as training an AI model, but which is not anymore publicly available after being collected. 3. Exemptions for research purposes with clear technical and ethical standards could promote AI research and development Section 17(2)(b) of the DPDPA also exempts processing of personal data for “research, archiving or statistical purposes” from obligations under the DPDPA. […]

[…] its provisions to enhance children’s privacy and safety on online platforms. This policy priority has equally reflected in the data protection field, with DPAs working together to promote child protection in advertising and recently fining social media companies for GDPR violations when processing children’s data. Other key developments include the upcoming  EDPB guidelines on […]

[…] text-to-video generation model (Veo); and a new iteration on their text-to-image generation model (Imagen 3). Google engineers have also announced several open models (Gemma 2B and 7B; CodeGemma; and PaliGemma). The privacy tradeoff of model size is this: the smaller the model, the easier it is to operate locally. Large models are more efficiently […]

[…] divergent definitions. To ensure focus and regulatory efforts are targeted toward technologies that play an impactful role in individuals’ rights, FPF recommended alignment with definitions from Government Code § 11546.45.51, the CPPA Draft Regulations, and Assembly Bill 2930 that require the ADS role be “substantial” to the decision-making process. Law / Proposal Definition Civil […]

[…] Josh Lee, Sakshi Shivhare, Brendan Tan. (L-R) Second row:  Lee Matheson and Dominic Paulger. 2. At the IAPP Asia Privacy Forum, FPF organized a panel to examine India’s landmark data protection legislation, and also participated in a panel on data sovereignty. 2.1. On July 18, FPF organized a panel titled “Demystifying India’s Digital Personal […]

[…] of privacy notices on the websites of 180+ companies across a variety of industries and sectors, from pharmaceutical to apparel. Two key laws enacted on March 31, 2024 formed the basis for the survey, Washington’s My Health, My Data Act, and Nevada’s SB370. Both laws create specific obligations for online transparency notices on websites […]

[…] journey. On a separate note, panelists also discussed data governance as an essential component of digital public infrastructures (DPIs)1. For instance, they noted DPIs became relevant after India included them as a priority during its G20 presidency. Although digital public infrastructure is still an evolving concept, it can be explored as an alternative to […]