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[…] to respond — like “you’re my running coach, give me a daily running plan and be positive, upbeat and motivating.” Gemini will take those instructions and, with one click, enhance them to create a Gem that meets your specific needs.” “Get more done with Gemini: Try 1.5 Pro and more intelligent features,” May 14, […]

[…] overview of the most relevant bills in the selected jurisdictions and identify emerging trends and divergences in the region. Accordingly, this analysis was based on at least one active proposal from each country that either (i) targets AI regulation in general, instead of providing technology-specific or sector-specific regulation; (ii) has similar provisions and scope […]

[…] AI used to make “consequential decisions,” including educational opportunities, employment, finance or lending, healthcare, housing, insurance, and other critical services. The use of a pricing algorithm in one of these contexts may therefore trigger the requirements of certain AI regulations. For example, the Colorado AI Act defines “consequential decision” to mean “a decision that […]

[…] apply when neural data is collected or processed for making inferences. Montana Montana SB 163 takes a slightly different approach than the other laws in two ways: one, it applies to “neurotechnology data,” an even broader category of data that includes the measurement of neural activity; and two, it amends Montana’s Genetic Information Privacy […]

[…] impact AI governance and how data protection regulators in Japan, South Korea, and Hong Kong (among others) have provided guidance on this. Josh’s presentation was followed by one from Darshini Ramiah, Senior Manager of AI Governance and Safety at IMDA. Darshini provided an overview of Singapore’s approach to AI governance, which is built on […]

[…] setting while managing potential risks. The concept of a regulatory sandbox was first introduced in the financial technology (fintech) sector, with the United Kingdom launching the first one in 2015. Since then, the concept has gained global traction, especially in sectors with rapid technological advancement, such as healthcare. According to a 2025 report by […]

[…] prices and products offered to consumers. Using a variety of terms—including “surveillance,” “algorithmic,” and “personalized” pricing—legislators are targeting a range of practices that often look different from one another, and carry different benefits and risks. Generally speaking, these practices fall under one of four categories: Reward or loyalty program: A company offers a discount, […]

[…] 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 […]

[…] over whether Large 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 […]

[…] to data protection laws in New Zealand (2020), Singapore (2021), and Australia (2024), as well as an ongoing review of Hong Kong’s law, which began in 2020. One example of how the Amendment Act brings the PDPA closer to globally recognized norms is the replacement of the term “data user” with “data controller.” While […]