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The Future of Privacy Forum (FPF) and OneTrust have published an updated version of their Conformity Assessments under the EU AI Act: A Step-by-Step Guide, along with an accompanying Infographic. This updated Guide reflects the text of the EU Artificial Intelligence Act (EU AIA), adopted in 2024.   Conformity Assessments (CAs) play a significant role in […]

[…] puts the AI system into service under its own name or trademark, whether for payment or free of charge.’ Even if the provider is not the direct designer/developer of the system, it still must ensure that requirements are embedded in the system prior to placing the system on the market or putting it into […]

On 21 January 2025, South Korea became the first jurisdiction in the Asia-Pacific (APAC) region to adopt comprehensive artificial intelligence (AI) legislation. Taking effect on 22 January 2026, the Framework Act on Artificial Intelligence Development and Establishment of a Foundation for Trustworthiness (AI Framework Act or simply, Act) introduces specific obligations for “high-impact” AI systems […]

With thanks to Daniel Hales and Keir Lamont for their contributions. Shortly before the close of its 2025 session, the Arkansas legislature passed HB 1717, the Arkansas Children and Teens’ Online Privacy Protection Act, with unanimous votes. As the name suggests, Arkansas modeled this legislation after Senator Markey’s federal “COPPA 2.0” proposal, which passed the […]

[…] technologies can find applications beyond their initial design. 32 These unintended uses can produce positive outcomes, 33 but they can also raise risks that model and system designers did not anticipate. 34 Many companies therefore tend to analyze intended and unintended applications to unearth a broader range of AI risks and inform appropriate risk […]

[…] technologies can find applications beyond their initial design. 32 These unintended uses can produce positive outcomes, 33 but they can also raise risks that model and system designers did not anticipate. 34 Many companies therefore tend to analyze intended and unintended applications to unearth a broader range of AI risks and inform appropriate risk […]

[…] technologies can find applications beyond their initial design. 32 These unintended uses can produce positive outcomes, 33 but they can also raise risks that model and system designers did not anticipate. 34 Many companies therefore tend to analyze intended and unintended applications to unearth a broader range of AI risks and inform appropriate risk […]

[…] some bias. Policymakers have therefore identified the risk that biases in the data used to train generative AI systems may cause these systems to produce outputs that amplify these biases and encourage discrimination. Broadly, policymakers highlight two high-risk forms of bias that can arise in generative AI training data. Historical bias refers to patterns […]