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[…] the highest-risk uses of ADMT; 2. Ensure that carve-outs for narrowly used, low-risk AI systems are appropriately tailored to avoid unintended impacts to socially beneficial technologies and use cases;  3. Clarify the intended scope of definition “significant decision” to include decisions that result in “access to” the specified goods and services;  4. Consider whether […]

To highlight the wide range of current use cases for Artificial Intelligence (AI) in education and future possibilities and constraints, the Future of Privacy Forum (FPF) today released a new infographic, Artificial Intelligence in Education: Key Concepts and Uses. While generative AI tools that can write essays, generate and alter images, and engage with […]

[…] Encryption is often used to secure 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 […]

[…] goals.  Advances in AI research, particularly around machine and deep learning techniques and the advent of LLMs, have enabled organizations to develop agents that can tackle novel use cases, such as purchasing retail goods and recommending and executing transactions. From finance to hospitality, these technologies could help individuals, businesses, and governments save time they […]

[…] Forum (FPF) is a global non-profit organization that brings together academics, civil society, government officials, and industry to evaluate the societal, policy, and legal implications of data use, identify the risks, and develop appropriate protections.  FPF believes technology and data can benefit society and improve lives if the right laws, policies, and rules are […]

[…] it’s helpful to check that the company is complying with their state law and displaying that information.  2. Update your passwords and multi-factor authentication regularly  Password re- use is one of the top ways that unwanted eyes can get into your accounts: once one service where you used a password is breached, criminals will […]

[…] two prominent dimensions of this topic: first, at the ethical level, and second, at the regulatory level, particularly concerned “with the limits of the legitimacy of the use of AI while trying to contour the uniqueness of a person over a machine and the desire to preserve personal autonomy in a space of choice.” […]

[…] laws so we can effectively explain data uses and tech to policymakers to help them craft policy and guidance that strikes the right balance for accountable data use. While comprehensive federal privacy legislation may not be imminent, the states and the attorneys general are still pretty concerned about privacy, as are governments around the […]

[…] AI legislation. Maryland passed the  Maryland Online Data Privacy Act (MODPA) as well as the Maryland Age-Appropriate Design Code Act” (Maryland AADC).  Following Connecticut’s lead last year, Virginia and Colorado both amended their state privacy laws to add specific online protections for kids’ data. FPF also examined genetic privacy laws from Montana, Tennessee, Texas, […]

[…] Guidelines establish rigorous requirements under the Privacy Act and its 13 Australian Privacy Principles (APPs), particularly emphasizing accuracy, transparency, and heightened scrutiny of data collection and secondary use. Notably, the Guidelines detail conditions that must be met for lawfully collecting personal information publicly available online for purposes of training generative AI, including through a […]