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[…] and ownership of Banco Popular instruments. Those deemed eligible could then submit comments through an online form. More than 23,000 comments were received, each assigned an alphanumeric code. In June 2019, the SRB transferred 1,104 comments relevant to the valuation to Deloitte via a secure server. Deloitte never received the underlying identification data or […]

[…] 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 […]

[…] role in shaping “well-balanced AI policies beyond our borders—especially in the absence of a comprehensive federal framework.” Supporters view the bill as a critical first step toward promoting transparency and reducing serious safety risks, while critics argue its requirements could be unduly burdensome on AI developers, potentially inhibiting innovation. These debates come as New […]

[…] 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 […]

[…] like suicide and self-harm, and restrictions on data use and advertising. Chatbots drew heightened legislative attention following recent court cases and high-profile incidents involving chatbot that allegedly promoted suicidal ideation to youth. As a result, several of these bills, like New York’s S-3008C (enacted), introduce safety-focused provisions, including directing users to crisis resources. Additionally, […]

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 […]

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 […]

This post is the fourth and final blog post in a series on personality versus personalization in AI systems. Read Part 1 (exploring concepts), Part 2 (concrete uses and risks), and Part 3 (intersection with U.S. law). Conversational AI technologies are hyper-personalizing. Across sectors, companies are focused on offering personalized experiences that are tailored to […]

[…] 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 […]