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A Price to Pay: U.S. Lawmaker Efforts to Regulate Algorithmic and Data-Driven Pricing
[…] AI used to make “consequential decisions,” including educational opportunities, employment, finance or lending, healthcare, housing, insurance, and other critical services. The use of a pricing algorithm in one of these contexts may therefore trigger the requirements of certain AI regulations. For example, the Colorado AI Act defines “consequential decision” to mean “a decision that […]
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] apply when neural data is collected or processed for making inferences. Montana Montana SB 163 takes a slightly different approach than the other laws in two ways: one, it applies to “neurotechnology data,” an even broader category of data that includes the measurement of neural activity; and two, it amends Montana’s Genetic Information Privacy […]
FPF at PDP Week 2025: Generative AI, Digital Trust, and the Future of Cross-Border Data Transfers in APAC
[…] impact AI governance and how data protection regulators in Japan, South Korea, and Hong Kong (among others) have provided guidance on this. Josh’s presentation was followed by one from Darshini Ramiah, Senior Manager of AI Governance and Safety at IMDA. Darshini provided an overview of Singapore’s approach to AI governance, which is built on […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] setting while managing potential risks. The concept of a regulatory sandbox was first introduced in the financial technology (fintech) sector, with the United Kingdom launching the first one in 2015. Since then, the concept has gained global traction, especially in sectors with rapid technological advancement, such as healthcare. According to a 2025 report by […]
Privacy Enhancing Technologies Workshop Proceedings
[…] ey poin ts ● The lack of clear regulatory guidance forces organizations to rely on best practices, trust, and adherence to local laws between/across jurisdictions; ● No one PET or technology can address every risk or threat; in many cases, multiple PET s and privacy protections are beneficial and can help reduce risk; ● […]
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PETs Use Case_ Differential Privacy for End-of-Life Data
[…] udget is fu lly sp ent, any fu rth er acce ss would be blo cke d until addit io nal budg et is assig n ed. One a dva nta ge of th is budgetin g appro ach is th at it giv e s re se arc h ers fle xib ilit […]
PETs Use Case_ Preventing Financial Fraud Across Different Jurisdictions with Fully Homomorphic Encryption
[…] se re tu rn ed to th e qu ery in g entit y . More dir e ctly , a query orig in atin g in one co untr y ca n get re sp onse s ab out th e ris k of a giv e n IB AN fr o m […]
State AI Legislation Report
[…] la w s— or fo cu se d on gove rn m ent use . T e xa s HB 14 9 (T R A IG A), one of th e more exp an siv e AI- r e la te d la w s enacte d in 20 25 , re fle cts […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices that often look different from one another, and carry different benefits and risks. Generally speaking, these practices fall under one of four categories: Reward or loyalty program: A company offers a discount, […]