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[…] with human preferences, can contribute to sycophancy by causing systems to strive for user satisfaction and positivity rather than confront delusional behavior. While technology-driven loneliness is not new, sycophantic AI companions and chatbots can contribute to a decline in the user’s mental wellbeing (e.g., suicidal ideation) and the disintegration of friendships, romantic relationships, and […]

[…] more intelligent features,” May 14, 2024, Google Meta “You can tell Meta AI to remember certain things about you (like that you love to travel and learn new language), and it can also pick up important details based on context. For example, let’s say you’re hungry for breakfast and ask Meta AI for some […]

[…] AI for economic and societal progress;  (iii) have a strong preference for ex ante, risk-based regulation;  (iv) introduce institutional multistakeholder frameworks for AI governance, either by creating new agencies or assigning responsibility to existing ones, and  (v) have specific provisions for responsible innovation and controlled testing of AI technologies.   You may find a comparative […]

[…] conducting a 6(b) investigation to study how firms are engaging in so-called “surveillance pricing,” and the release of preliminary insights from this study in early 2025. With new FTC leadership signalling that continuing the study is not a priority, state lawmakers have stepped in to scrutinize certain pricing schemes involving algorithms and personal data. […]

[…] 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 apply to anything that reveals an individual’s mental activity? […]

[…] focusing on making the industry more capable of using AI responsibly. Wan Sie pointed to AI Verify, Singapore’s AI governance testing framework and toolkit, and the IMDA’s new Global AI Assurance Sandbox, as mechanisms that help organizations ensure their AI systems could demonstrate greater trustworthiness to users. Josh focused on trends from across the […]

[…] a controlled environment, usually combining regulatory oversight with reduced enforcement. Sandboxes often encourage organizations to use real-world data in novel ways, with companies and regulators learning how new data practices are aligned –  or misaligned – with existing governance frameworks. The lessons learned can inform future data practices and potential regulatory revisions. In recent […]

[…] adoption of these technologies and their intersection with data protection laws.  Mastercard’s Chief Privacy Officer, Caroline Louveaux, presented the first PET, a privacy-preserving technology tested in a new cross-border fraud detection system. Louveaux presented how the system employs Fully Homomorphic Encryption (FHE), a technique that enables analysis of encrypted data, and the participants discussed […]

[…] narrowly on specific types of health data individually or in tandem with AI or other technologies. For example, mental health chatbots (Utah HB452), reproductive health data ( Virginia SB754), or AI disclosures in clinical settings (California AB3030). Other bills and laws have broad definitions that include location, movement, and voice data, all common types […]

[…] Language Models (LLM) store copies of the data that they are trained on.1 In copyright circles, this has led to lawsuits such as the one by the New York Times against OpenAI that alleges that ChatGPT will reproduce NYT articles nearly verbatim.2 While in the privacy space, much ink has also been spilt over […]