07 February 2024
Examining the EU’s Artificial Intelligence Act
Finally, consensus on the EU Artificial Intelligence Act. The academic community is thus finally in a position to provide a (slightly) more definitive evaluation of the Act’s potential to protect individuals and societies from AI systems’ harms. This blog post attempts to contribute to this discussion by illustrating and commenting on the final compromises regarding some of the most controversial and talked-about aspects of the AI Act, namely its rules on high-risk systems, its stance on General Purpose AI, and finally its system of governance and enforcement. Continue reading >>
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09 November 2023
We Don’t Need No Education?
Artificial Intelligence doesn't know what's 'true'. Especially, generative AI models like chatbots veer from the truth, i.e. “hallucinate”, quite regularly. Chatbots simply invent information at least 3 percent of the time and sometimes as high as 27 percent. Given the (future) use of such systems in nearly all domains, we might want such systems to follow more stringent rules of accuracy. And those truth-related rules are not the only rules for AI systems that warrant societal scrutiny. How those systems are trained will be crucial. In this blog post, we argue that a new perspective is key to tackle this challenge: “Hybrid Speech Governance”. Continue reading >>
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08 September 2023
An Interdisciplinary Toolbox for Researching the AI-Act
The proposed AI-act (AIA) will fundamentally transform the production, distribution, and use of AI-systems across the EU. Legal research has an important role to play in both clarifying and evaluating the AIA. To this end, legal researchers may employ a legal-doctrinal method, and focus on the AIA’s provisions and recitals to describe or evaluate its obligations. However, legal-doctrinal research is not a panacea that can fully operationalize or evaluate the AIA on its own. Rather, with the support of interdisciplinary research, we can better understand the AIA’s vague provisions, test its real-life application, and create practical design requirements for the developers of AI-systems. This blogpost gives a short glimpse into the methodological toolbox for researching the AI-act. Continue reading >>
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