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[…] (CJEU) Case CJEU1: Joined Cases WM (C -37/20), Sovim SA (C -601/20), Grand Chamber, November 22, 2022, ECLI:EU:C:2022:912. Austria (AT) Case AT-CR-1: Austrian Supreme Court, Case: 6Ob77/ 20x of November 25, 2020, available at https://www.ris.bka.gv.at/Dokument.wxe?Abfrage=Justiz&Dokumentnummer=JJT_20201125_ OGH0002_0060OB00077_20X0000_000. Belgium (BE) Case BE-CR-1: Cour d’ appel Bruxelles, Case: 2020/AR/1333 of January 27, 2021, available at https://www.gegevensbeschermingsautoriteit.be/publications/arrest-van-27-januari-202 1-van- […]

[…] 20 Health System Use Technical Advisory Committee Data De-identification Working Group, ‘Best Practice’ Guidelines for Managing the Disclosure of De-identified Health Information , available at: http://www.ehealthinformation.ca/documents/ Data%20De-identification% 20Best%20Practice%20Guidelines.pd f. 21 Khaled El Emam and Fida Kamal Dankar, Protecting Privacy Using k-Anonymity, available at: http://www.ncbi.nlm.nih.gov/ pmc/articles/PMC2528029/ . 22 Khaled El Emam, De-identifying Health Data for […]

[…] Chart: Risk Assessment (DPIA) Requirements in California, Colorado, and the EU California Colorado EU FPF Analysis: CA v. CO References California Consumer Privacy Act (CCPA) Cal. Civ. Code § 1798.185, subd. (a)(15) Colorado Privacy Act (CPA) Colo. Rev. Stat. § 6-1-1309 General Data Protection Regulation (GDPR) Article 35 This comparison chart focuses on the […]

[…] Beyond disclosure and safety, some bills experimented with accountability measures tied to privacy and advertising . Utah’s SB 452 (enacted), for example, prohibits mental health chatbots from promoting products during conversations unless clearly labeled as advertising. California’s AB 1064 (enrolled) initially highlighted concerns about how personal data from chatbot interactions w ith youth may […]

[…] through user-generated input. For example, a 2015 claim against Snap, Inc. survived Section 230 dismissal following a claim that a specific “Speed Filter” Snapchat feature (since discontinued) promoted reckless driving.  In other cases, the personalization of a system through demographic-based targeting that causes harm may also implicate tort and product liability law when organizations […]

[…] personality-like features, whether it is a specific voice mode, or a consistent persona, or even a range of “AI companions.” Even if companion-like personalities are not directly promoted as features, users can build them using system prompts and customized design; an early 2023 feature of OpenAI enabled users to create custom GPTs.  Figure 3 […]

Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to users’ preferences, behaviors, and virtual and physical environments. These range from general purpose LLMs, to the rapidly growing market for LLM-powered AI companions, educational aides, and corporate assistants. There are clear trends among this overall focus: towards […]

[…] the OECD’s AI Principles, focused on transparency, security, and responsibility of AI systems, and to UNESCO’s AI Ethics Recommendation, which emphasizes the need for a human-centered approach, promoting social justice and environmental sustainability in AI systems.  All bills reviewed ground the development of AI in privacy or data protection as a guiding principle to […]

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