Search results

[…] 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 […]

[…] 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 […]

[…] handle it in ways that comply with privacy and data protection laws. However, many companies also use data collected from co-branded relationships (eg, credit card providers and airlines), or obtained from other entities (eg, data brokers). In this way, data-driven pricing is enabled by an ecosystem of entities that collect and share data, algorithms […]

[…] personal data for model training, operationalizing data subject rights, and ensuring adequate explainability. In addition, the unique design elements and characteristics of the agents may exacerbate or raise novel data protection compliance challenges for the collection and disclosure of personal data, security vulnerabilities, the accuracy of outputs, barriers to alignment, and explainability and human oversight.

[…] , an o rg an iz a tio n co uld eq uip an ag ent ta sk e d wit h fin d in g good deals on ho te ls wit h a to ol th at e nab le s th e te ch no lo g y to fa cto […]

[…] generative AI, as well as the potential benefits, are still being understood, and this list does not include many of the growing debates around existential risk or alignment with human values. FRAUD & SCAMS AI-generated content can be used to impersonate individuals or organizations in order to defraud consumers; for example, AI impersonations can […]

[…] generative AI, as well as the potential benefits, are still being understood, and this list does not include many of the growing debates around existential risk or alignment with human values. FRAUD & SCAMS AI-generated content can be used to impersonate individuals or organizations in order to defraud consumers; for example, AI impersonations can […]

[…] for Digital Leadership and Innovation immediately precedes the FPF annual meeting, and is open to the public for a fee . Member companies receive 5 c omplimentary tickets for you and staff (promo code: FPFAB2025 ). Join us at the Wharf Intercontinental in Washington, DC. FPF Annual Advisory Board Meeting | June 11 -13 […]

[…] What Weblining Means for You and Your Online Privacy, REPUTATION DEFENDER (Sept. 29, 2011), https://www.reputationdefender.com/blog/ privacy/what-weblining-means-you-and-your-online-privacy. 96 Jennifer Valentino-Devries, Jeremy Singer-Vine & Ashkan Soltani, Websites Vary Prices, Deals Based on Users’ Information, WALL ST. J. (Dec. 24, 2012), https://www.wsj.com/articles/SB10001424127887323777204578189391813881534. 97 FED. TRADE COMM’N, BIG DATA: A TOOL FOR INCLUSION OR EXCLUSION? 11 (2016), https://www.ftc.gov/system/files/documents/reports/big-data-tool-inclusion-or-exclusion-understanding-issues/160106big-data-rpt.pdf. […]

[…] latest agents may exacerbate or raise novel data protection compliance challenges around the collection and disclosure of personal data, security vulnerabilities, the accuracy of outputs, barriers to alignment, and explainability and human oversight.  What are AI Agents? The concept of “AI Agents” or “Agentic AI” arose as early as the 1950s and has many […]