The Philosophy of Data Science: Data Science Governance
S3.02, 3rd floor
Frankfurt am Main
- Center for Responsible Digitality (ZEVEDI)
- Centre for Human & Machine Intelligence (HMI)
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Conference: The Philosophy of Data Science: Data Science Governance
This conference, hosted by the Centre for Human & Machine Intelligence (HMI) at the Frankfurt School of Finance & Management and part of the project group Regulatory Theories of Artificial Intelligence of the Centre for Responsible Digitality (ZEVEDI), aims to bring together researchers from ethics, political philosophy, and philosophy of science to discuss questions surrounding the governance of data science. The conference’s guiding question is how to conduct, design and regulate data science for the public good. The proper guidance of data science requires the formulation of both moral and legal norms and frameworks, which may guide individuals, private corporations, as well as public and political institutions. The conference will approach this topic by looking at a range of different domains, exploring the specific challenges they raise and how they might call for different, custom-made solutions. These domains include, but are not limited to, healthcare, scientific research, transportation, surveillance, social media, and law and law enforcement. In these domains, good data science governance is a matter of understanding and balancing a variety of often competing values and ideals, among which are responsibility, trust, fairness, accountability, privacy, cost-efficiency, as well as epistemic goods such as knowledge, understanding and predictive power.
Frankfurt School of Finance & Management
60322 Frankfurt/Main, Germany
Room: S3.02, 3rd floor
10 & 11 June 2022
Friday, June 10, 2022
10.00 – 10.30 Welcome
10.30 – 12.00 Boris Babic (University of Toronto): The Explainability Bait and Switch
12:00 – 13:30 Lunch break
13.30 – 15.00 Cassandra Grützner (University of Halle-Wittenberg), Maximilian Goldmann (unaffiliated), Moritz Appels (Mannheim University), Rebecca C. Rühle (VU Amsterdam): Behavioural data governance - the feasibility of data leak prevention through nudging
15:00 – 15:15 Oliver Buchholz (Tübingen University): Building Effective Guidelines for Machine Learning: Lessons from Means-End Epistemology
16:45 – 17:00 Coffee break
17:00 – 18.30 Sabina Leonelli (University of Exeter): Governing Data Circulation: An Underrated Concern for Scientific Inquiry
Saturday, June 11, 2022
9.00 – 10.30 Kate Vredenburgh (London School of Economics): Justified Algorithmic Decisions: Thresholds and Randomness
10:30 – 10:45 Coffee Break
10.45 – 12.15 Michael Da Silva (University of Ottawa/University of Southampton): Explainability, Public Reason, and Medical Artificial Intelligence
12.15 – 13.45 Lunch break
13.45 – 15.15 Mahdi Khalili (VU Amsterdam): Understandable Artificial Intelligence and Virtuous Characters
15:15 – 15:30 Coffee break
15.30 – 17.00 David Danks (University of California, San Diego): Governing Ethical Bias, not Statistical Bias
The conference will be a hybrid event. To register for in-person or online attendance, please visit our website: https://www.frankfurt-school.de/home/research/conferences-workshops/ds-2022. Information on how to attend online will be shared with registered participants in due course. There is no registration or conference fee. Registration closes on 3 June. On the website, you will also find further information regarding travel directions. If you have any further questions, please direct any enquiries to [email protected].
Gregory Wheeler, Peter Königs, and Sebastian Köhler
This is an event sponsored by the Centre for Human & Machine Intelligence (HMI), Frankfurt School of Finance & Management and part of the project group Regulatory Theories of Artificial Intelligence of the Centre for Responsible Digitality (ZEVEDI).
June 3, 2022, 11:45pm CET
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#Data Science, #Artificial Intelligence