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[…] personalized offers. › Ensure that personalized discounts exist in relation to real “baseline” prices. › Implement stronger safeguards around data-driven pricing for essential p roducts. › Ensure alignment on data use policies when partnering with pricing algor ithm vendors. EXECUTIVE SUMMARY 2 Future of Privacy Forum | The Price is Right: Responsible Uses of […]

[…] FPF also selected a paper for the Student Paper Award: Decoding Consent Managers under the Digital Personal Data Protection Act, 2023: Empowerment Architecture, Business Models and Incentive Alignment by Aditya Sushant Jain of O.P. Jindal Global University – Jindal Global Law School.  In reviewing the submissions, winning papers were awarded based on the strength […]

[…] g es, whic h put to g eth e r am end m ents t o mult ip le la w s in to sin g le deals . This ap pro ach lim it s dem ocra tic sc ru tin y an d pre ssu re s l a w m ake […]

[…] to offer a limited number of hosted rooms in the past for our academic/advocate participants, all attendees will be responsible for securing and covering their own hotel reservations this year. We’re grateful for your understanding and continued participation. Hotel Reservation: You have two options to make your hotel reservations by the cut-off date. Call to […]

[…] g es, whic h put to g eth e r am end m ents t o mult ip le la w s in to sin g le deals . This ap pro ach lim it s dem ocra tic sc ru tin y an d pre ssu re s l a w m ake […]

[…] 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.