July 15, 2021, 12:00 - 1:15 pm (CET), Zoom
The process of setting rules and norms for computing processes and applications has been dominated by requirements engineering and formalisable, rather than ‘thick’ interpretations of central concepts including fairness, responsibility, trust and participation. Yet computing science experts and other disciplines such as law and philosophy often understand these terms very differently. These differences in understanding can create productive friction and discussion amongst experts with very different backgrounds and orientations, but can also constitute gaps that lead to governance-by-default, where instead of creating architectures for the control and shaping of digital power and intervention, disagreement on fundamental concepts delays action. This talk will explore whether these diverging understandings represent fundamental incompatibilities between disciplinary worldviews, what the effects of the resulting faultlines are in terms of thes target and aims of governing data and AI, how we can recognise productive disjunctures. I will look particularly at the current politics of AI, and ask whether there are ways to govern technology when different groups are locked in opposition around core concepts and assumptions which each consider non-negotiable.
Prof. Dr. Linnet Taylor, Tilburg Institute for Law, Technology and Society (TILT)
Victoria Guijarro Santos, University of Muenster
The link for the recorded video will be published soon.