68 citations · 91 across the 4 of their papers we have counts for
5 papers · 1 filter
Regulating ChatGPT and other Large Generative AI Models
Philipp Hacker, Andreas Engel, Marco Mauer
Large generative AI models (LGAIMs), such as ChatGPT, GPT-4 or Stable Diffusion, are rapidly transforming the way we communicate, illustrate, and create. However, AI regulation, in…
Regulating Gatekeeper AI and Data: Transparency, Access, and Fairness under the DMA, the GDPR, and beyond
Philipp Hacker, Johann Cordes, Janina Rochon
Artificial intelligence is not only increasingly used in business and administration contexts, but a race for its regulation is also underway, with the EU spearheading the efforts.…
The European AI Liability Directives -- Critique of a Half-Hearted Approach and Lessons for the Future
Philipp Hacker
As ChatGPT et al. conquer the world, the optimal liability framework for AI systems remains an unsolved problem across the globe. In a much-anticipated move, the European Commissio…
Towards a Flexible Framework for Algorithmic Fairness
Philip Hacker, Emil Wiedemann, Meike Zehlike
Increasingly, scholars seek to integrate legal and technological insights to combat bias in AI systems. In recent years, many different definitions for ensuring non-discrimination…
Matching Code and Law: Achieving Algorithmic Fairness with Optimal Transport
Meike Zehlike, Philipp Hacker, Emil Wiedemann
Increasingly, discrimination by algorithms is perceived as a societal and legal problem. As a response, a number of criteria for implementing algorithmic fairness in machine learni…