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An event co-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 Responsible Digitality (ZEVEDI)

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 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.

Conference Programme

Friday, 10 June 2022
Room: AI Lab, Level 4, A Tower and online

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

Coffee break
15.15 - 16.45 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
19:00 Conference Dinner
Saturday, 11 June 2022
Room: AI Lab, Level 4,
 

A Tower and online
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
Wrapping up

Registration

Registration

The conference will be a hybrid event. Please register below, whether you plan to attend in-person or online. Information on how to attend online will be shared with registered participants in due course.

Registration deadline: 3 June, 2022
There is no conference or registration fee.

Travel Directions

Using Public Transport
From Frankfurt Airport:
  • Take any S-Bahn train 8 or 9 (direction: “Frankfurt Innenstadt / City”) to Konstablerwache station
  • Change to the U5 metro (direction: “Preungesheim”) to Nibelungenallee / Deutsche Nationalbibliothek
  • Cross Adickesallee at the traffic lights immediately opposite the Total service station and turn left
  • The Frankfurt School campus is next to the service station
From Frankfurt Hauptbahnhof (Central Station):
  • Take the U5 metro (direction: “Preungesheim”) to Nibelungenallee / Deutsche Nationalbibliothek station
  • Cross Adickesallee at the traffic lights immediately opposite the Total service station and turn left
  • The Frankfurt School campus is next to the service station
RMV ticket machines

Local public transport tickets are available from ticket machines, situated at the local railway stations. Remember that you will need to purchase a ticket before boarding the train. By touching the screen, you can set the operating instructions to various languages (English, French, Italian, Spanish and Turkish). Then follow the instructions on the user screen and select the type of ticket required (single adult ticket, day ticket, short hop ticket). The ticket machines accept payment in coins and banknotes and usually also allow for cashless payment.

Travelling by Car

From the South (Airport) or North:
  • Take the A5 heading Kassel/Hannover to the Nordwestkreuz junction, then take the A66 heading towards Frankfurt/Miquelallee
  • Drive to the end of the motorway, then continue to follow the road (now called Miquelallee)
  • Miquelallee joins Adickesallee; the Frankfurt School campus is on the left
  • To turn left, one needs to drive straight across the big junction (traffic light) 
  • Just behind the crossing, it is possible to turn and drive back
  • Then, the Frankfurt School campus is on the right
From the West:
  • Take the A66 heading towards Frankfurt/Miquelallee until you reach the end of the motorway, then continue to follow the road (now called Miquelallee)
  • Miquelallee joins Adickesallee; the Frankfurt School campus is on the left
  • To turn left, one needs to drive straight across the big junction (traffic light)
  • Just behind the crossing, it is possible to turn and drive back
  • Then, Frankfurt School campus is on the right
From the East:
  • Take the A661 until you reach Exit 7 signposted “Frankfurt-Eckenheim’, then head in the direction of Frankfurt-Innenstadt
  • After about 4 km (2.5 miles), you will reach a major junction with traffic lights and a Total service station (on the right); turn right into Adickesallee
  • Drive another 150 metres or so; the Frankfurt School campus is on the right, after the service station