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#129 Alexandra Geese: Demystifying AI Regulations in Europe & Beyond

Eye On A.I.

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Data Governance and Bias in AI Models: A Key Concern for Europe

Appropriate data governance measures are necessary for foundation models to examine data sources and mitigate biases/nAvoiding bias in AI tools based on foundation models is a challenge that needs reflection from providers/nThe use of copyrighted materials in training foundational models raises concerns/nIt is currently difficult to determine how providers of foundational models will address the use of copyrighted materials/nOpenness and distinction between copyrighted and other material may be a good starting point/nFinding a balance between copyright protection and technological advancement is important/nThe impact of AI technology on human creativity and economic rewards is a complex issue/nEnforcement of copyright legislation is uncertain until the AI Act becomes legislation

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