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Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

[…] like “personal information” and “operator,” but in a few instances switches to “personal data” and “controller,” perhaps from borrowing language from more modern privacy laws like the Virginia Consumer Data Protection Act.     The substantive data minimization trend continues While the federal COPPA framework is largely focused on consent, former Commissioner Slaughter noted in 2022 […]

Thank you for the contributions of Rob van Eijk, Marlene Smith, and Katy Wills We are now in 2025, the year of AI agents. In the last few weeks, leading large language model (LLM) developers (including OpenAI, Google, Anthropic) have released early versions of technologies described as “AI agents.” Unlike earlier automated systems and even […]

[…] research and evaluation: Ongoing African-led research is needed to assess new risks arising from AI development and use in Africa; evaluate the efficacy of governance tools to promote the development and use of AI systems that are inclusive, fair, sustainable, and just; review best practices in AI governance coming out of similar country contexts […]

[…] 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 […]

[…] and violence material, and drug-related material (collectively, “class 1A” and “class 1B” material). These final standards address Designated Internet Services and Relevant Electronic Services, joining six other codes covering other categories of services.  In October 2023, prior to the publication of the draft industry standards, FPF hosted a roundtable conversation with expert contributors from […]

[…] AI Verify, the IMDA and the PDPC hope that the global AI testing community can gravitate towards workable standards in various industries and use cases.  Third, to promote user trust, AI Verify permits organizations to conduct self-testing on premises, and also allows for third-party testing. The AI Verify Foundation, which oversees the development and […]

[…] to protect individuals in relation to how their personal data is processed, ensuring that such processing respects their fundamental rights, while at the same time seeking to promote the free movement of personal data within the EU.   While the two regulations do not have the same taxonomy of regulated actors, the broad scope of […]

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 […]