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[…] work better for individuals, which Draghi does not mention at all. The EU institutions, with input from the European Data Protection Board, should agree on a limited number of clearly-defined priorities to be dealt with in any reform. Any changes that affect the fundamental principles of the GDPR or reduce the level of protection […]

[…] • Where PD of vulnerable natural persons, in particular of children, are processed; or • Where processing involves a large amount of PD and affects a large number of data subjects. Recital 75. California and Colorado have a slight difference in approach tied to the triggers for an assessment (see above). For example, Colorado […]

[…] MD MA MI MN MS MO MTNV Nb NM NY NC OH OK OR PA RI SC TX UT VT VA WA WV WY Overview of the number of industry-focused AI bills introduced per state in 2025, distinguishing how many bills were enrolled or enacted per state. Introduced AI Billls, Enrolled or Enacted by […]

[…] Values and Interests and Consulting with Experts: Achieving alignment entails that the AI system reflects human interests and values, but such efforts can be complicated by the number and range of these values that a system may implicate. In order to obtain a holistic understanding of the values and interests an AI companion or […]

[…] 2515 (applies to grocery stores), Hawaii HB 465 (applies to the sale of food qualifying for federal SNAP and WIC benefits programs) Retail: eg, Vermont H 371 Tickets: eg, Illinois HB 3838 In addition to bills focused on data-driven pricing, legislation regulating artificial intelligence (AI) and automated decision making more generally often apply specifically […]

[…] 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 […]

[…] AI Governance and Safety at IMDA; Derek Ho, Deputy Chief Privacy, AI and Data Responsibility Officer at Mastercard; and Patrick Chua, Senior Principal Digital Strategist at Singapore Airlines (SIA). The experts discussed AI governance from both an industry and regulatory perspective. The panelists highlighted that AI governance is cross-functional and requires collaborative effort from […]

[…] 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 […]