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[…] made by SB 297 and some key takeaways about what this means for the comprehensive consumer privacy landscape. Changes to the law include (1) a duty of care with respect to minors, (2) new requirements for processing minors’ personal data, (3) a disclaimer that the law does not require age verification, (4) lowered applicability […]

[…] double by 2035 and nearly triple by 2060. This rapidly aging population presents complex challenges and opportunities, particularly in the increased demand for resources necessary for senior care and the use of AgeTech to promote improved autonomy and independence. FPF will lead rigorous, independent research into these issues, with a particular focus on the […]

[…] submit their findings to the MSIT.  For accountability, Article 36 provides that AI Business Operators without a domestic address or place of business and cross certain user number or revenue thresholds (to be prescribed) must appoint a “domestic representative” with an address or place of business in South Korea. The details of the domestic […]

[…] 2.0 As originally introduced, Arkansas’s bill was nearly identical to last year’s federal COPPA 2.0 bill. Arkansas’ framework went through various, largely business-friendly amendments (and one bill number switch) during its legislative journey. Though HB 1717 maintains the same general framework of COPPA 2.0, it includes several important divergences: No reliance on existing COPPA […]

[…] a user’s web browser to take actions on their behalf. This could enable a wide range of useful or time-saving tasks, from making restaurant reservations and resolving customer service issues to coding complex systems. At the same time, AI agents raise greater, and sometimes novel, privacy and data protection risks related to the collection […]

[…] of deepfakes – video, text, image, and audio – and the varied risks and considerations posed by each in a school setting, from the potential for fabricated phone calls and voice messages impersonating teachers to sharing forged, non-consensual intimate imagery (NCII). “Deepfakes create complicated ethical and security challenges for K-12 schools that will only […]

[…] When the processing is necessary for preventive or occupational medicine, evaluation of an employee’s capacity to work, medical diagnosis, or provision and management of health or social care services (Art. 16 bis). Article 16 ter defines biometric data as “obtained from a specific technical treatment, related to the physical, physiological or behavioral characteristics of […]

[…] the completion of specific tasks in the school context. The infographic takes a closer look at several common AI use cases in schools, including:  Automated grading and feedback, allow teachers to spend more time focused on instruction and student support. While these tools may aid in consistency and objectivity in grading, they should be […]

[…] or authenticate sensitive documents. Encryption applies a mathematical formula, which obfuscates plaintext information and transforms the plaintext into unreadable ciphertext. Each use of 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 […]

[…] a user’s web browser to take actions on their behalf. This could enable a wide range of useful or time-saving tasks, from making restaurant reservations and resolving customer service issues to coding complex systems. However, AI agents also raise greater and novel data protection risks related to the collection and processing of personal data. […]