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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 […]

In May 2025, Nebraska and Vermont passed Age-Appropriate Design Code Acts (AADCs), continuing the bipartisan trend of states advancing protections for youth online. While these new bills arrived within the same week and share both a common name and general purpose, their scope, applicability, and substance take two very different approaches to a common […]

[…] impact on, a minor; (b) financial, physical, or reputational injury; (c) unauthorized disclosure of personal data as a result of a security breach (as described in Mont. Code Ann. § 30-14-1704); or (d) intrusion upon the solitude or seclusion or private affairs or concerns of a minor, whether physical or otherwise, that would be offensive […]

[…] values are replaced with broader, less precise categories. Examples include replacing an exact birth date with just the birth year or an age range, a specific ZIP code with a larger geographic area, or a specific occupation with a broader job category. This is a core technique used to achieve k-anonymity. While it reduces […]

[…] The passage of Arkansas COPPA 2.0 may signal an emerging trend towards a potentially more constitutionally resilient approach to protecting children and teens online. Unlike age-appropriate design codes or social media age verification mandates, which have faced significant First Amendment challenges, Arkansas COPPA 2.0 takes a more targeted approach focused on privacy and data […]

[…] countries of concern (and covered persons that they can leverage) to access and exploit Americans’ bulk sensitive personal data and certain U.S. Government-related data.’ It is no secret that these initiatives are primarily focused on data transfers to China, which is one of the six ‘countries of concern’ determined by the Attorney General, with […]

[…] encryption generates a long number that is the mathematical solution to the formula and can unscramble the protected sensitive information. If a private key is not kept secret, anyone with the key can access the private data or impersonate the authenticated person or organization. This infographic is the latest in FPF’s longstanding work on […]

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 […]

[…] create a Data Privacy Day Snapchat Lens that lets you choose what type of privacy pup best reflects your personality. Check it out by scanning the Snapchat code!  Once you’ve determined which privacy pup you are, learn more about protecting your privacy with these 5 quick, easy steps. 1. Share your Information with Websites […]

[…] breath this year, focusing on the implementation of the EU AI Act, which was adopted last year and whose application starts rolling out in a month. Necessary Codes of Conduct – like the one dedicated to general purpose AI, implementing acts, and specific standards are expected to flow within the next 18 months or […]