The Measurement Trap in AI Governance and Solutions
Experts discuss the challenges of governing artificial intelligence systems alongside measurement difficulties, emphasizing the importance of democratic values and agile approaches.
The measurement difficulties and performance deviations encountered in the governance of artificial intelligence systems were comprehensively discussed at a new forum attended by experts.
The Measurement Trap and Core Debates
The transformation of benchmarking metrics into direct targets in artificial intelligence governance causes systems to drift away from real-world behaviors.
Democratic Values and Optimization
Jürgen Pfeffer states that optimizations performed without societal goals and constraints fail to respect democratic values.
Agile Governance Approach
Hiroki Habuka, on the other hand, points out that within the framework of agile governance, measurement and evidence infrastructures must be meticulously examined alongside risks.
Institutional Challenges and Power Asymmetries
Virgilio Almeida emphasizes that the control of models, data, and resources by major technology companies makes independent evaluation mandatory.