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The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
1970-01-01 01/01/1970 January 1, 70
The “Neural Data” Goldilocks Problem: Defining “Neural Data” in U.S. State Privacy Laws
[…] most sensitive of personal data to the newly-conceived legal category of “neural data.” Each of these laws defines “neural data” in related but distinct ways, raising a number of important questions: just how broad should this new data type be? How can lawmakers draw clear boundaries for a data type that, in theory, could […]
Balancing Innovation and Oversight: Regulatory Sandboxes as a Tool for AI Governance
[…] oversight purposes. The supervising body typically has some discretion as to how to implement its sandbox, such as the focus (technology or sector-specific), the vetting process, the number of accepted applicants, and evaluation metrics for success. Application and selection: As part of the vetting process, participating organizations must explain to the regulatory body why […]
Privacy Enhancing Technologies Workshop Proceedings
[…] privacy . Financial firms are required and incentivized to engage in a range of anti-fraud programs. Firms often seek to determine whether a particular International Bank Account Number (IBAN) involved in a cross-border transaction is at high risk for fraud. Traditionally , this process involves cooperation between financial institutions that can raise compliance questions […]
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
1970-01-01 01/01/1970 January 1, 70
Data-Driven Pricing: Key Technologies, Business Practices, and Policy Implications
[…] whether they participate in a data-driven pricing strategy that incorporates their personal data. Discrimination: Data-driven pricing inherently involves different customers paying different amounts for similar products or services. Even the common practice of sending certain customers coupons means that other customers will be paying relatively more. When this price differential becomes a problem is […]
Key Dates for State Privacy Laws
[…] new chapter for data privacy protections in the United States has commenced as more than twenty recently enacted significant state privacy laws have taken effect by July 1, 2025. To assist stakeholders in tracking the emerging state privacy landscape, the Future of Privacy Forum has prepared a resource listing key dates for state privacy […]
Tech to Support Older Adults and Caregivers: Five Privacy Questions for Age Tech
[…] under federal health privacy law at all. Instead, protections depend on the state where a user lives, or whether the product falls under one of a growing number of state-level privacy laws or consumer health privacy laws. Laws like New York’s S929/NY HIPA, which remains in legislative limbo, reflect growing state interest in regulating […]
Nature of Data in Pre-Trained Large Language Models
[…] generate a human-readable response. Stage 2: Embedding contextual information Complex contextual information can be reflected as patterns in high-dimensional vectors. The greater the complexity, the higher the number of features that are needed. These are reflected as parameters of the high dimension vectors. Contrariwise, low dimension vectors contain fewer features and have lower representational […]
Malaysia Charts Its Digital Course: A Guide to the New Frameworks for Data Protection and AI Ethics
[…] likely to result in a “high risk” to data subjects. The draft guidelines propose a two-tier approach to assess this risk, considering both quantitative factors (like the number of data subjects) and qualitative ones (such as data sensitivity). Notably, if a DPIA reveals a high overall risk, organizations may be required to notify the […]