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BEGIN:VEVENT
DTSTAMP:20260604T134824Z
DTSTART;TZID=Europe/Berlin:20220610T090000
DTEND;TZID=Europe/Berlin:20220611T170000
SUMMARY:The Philosophy of Data Science: Data Science Governance
UID:20260605T235341Z-iCalPlugin-Grails@philevents-web-bd7db559-gt5qm
TZID:Europe/Berlin
LOCATION:Adickesallee 32\, Frankfurt am Main\, Germany
DESCRIPTION:<p><strong>Conference: The Philosophy of Data Science: Data Science Governance</strong></p>\n<p>This conference\, hosted by the Centre for Human &amp\; Machine Intelligence (HMI) at the Frankfurt School of Finance &amp\; Management and&nbsp\;part of the project group Regulatory Theories of Artificial Intelligence of&nbsp\;the Centre for Responsible&nbsp\;Digitality&nbsp\;(ZEVEDI)\,&nbsp\;aims to bring together researchers from ethics\, political philosophy\, and philosophy of science to discuss questions surrounding the governance of data science. The conference&rsquo\;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.<strong>&nbsp\;</strong>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.</p>\n<p><strong>Location<br></strong>Frankfurt School of Finance &amp\; Management<br>Adickesallee 32-34<br> 60322 Frankfurt/Main\, Germany<br>Room: S3.02\, 3rd floor</p>\n<p><strong>Date</strong><br>10 &amp\; 11 June 2022</p>\n<p><strong>&nbsp\;<em>Program</em></strong></p>\n<p><strong>Friday\, June 10\, 2022</strong></p>\n<p>10.00 &ndash\; 10.30&nbsp\;&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;&nbsp\;&nbsp\;Welcome</p>\n<p>10.30&nbsp\;&ndash\;&nbsp\;12.00<strong>&nbsp\;</strong><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Boris Babic</strong>&nbsp\;(University of Toronto):&nbsp\;The Explainability Bait and Switch</p>\n<p>12:00 &ndash\; 13:30&nbsp\;&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Lunch break</p>\n<p>13.30 &ndash\; 15.00 &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;&nbsp\;&nbsp\;<strong>Cassandra Gr&uuml\;tzner</strong>&nbsp\;(University of Halle-Wittenberg)\,&nbsp\;<strong>Maximilian Goldmann</strong>&nbsp\;(unaffiliated)\,&nbsp\;<strong>Moritz Appels&nbsp\;</strong>(Mannheim University)\, Rebe<strong>cca C. R&uuml\;hle</strong>&nbsp\;(VU Amsterdam): Behavioural data governance - the feasibility of data leak prevention through nudging</p>\n<p>15:00 &ndash\; 15:15 &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;&nbsp\;&nbsp\;<strong>Oliver Buchholz</strong>&nbsp\;(T&uuml\;bingen University): Building Effective Guidelines for Machine Learning: Lessons from Means-End Epistemology</p>\n<p>16:45 &ndash\; 17:00&nbsp\;&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Coffee break</p>\n<p>17:00&nbsp\;&ndash\;&nbsp\;18.30<strong>&nbsp\;</strong><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Sabina Leonelli</strong>&nbsp\;(University of Exeter):&nbsp\;Governing Data Circulation: An Underrated Concern for Scientific Inquiry</p>\n<p><strong>Saturday\, June 11\, 2022</strong></p>\n<p>9.00 &ndash\; 10.30<strong>&nbsp\;</strong><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Kate Vredenburgh&nbsp\;</strong>(London School of Economics): Justified Algorithmic Decisions: Thresholds and Randomness</p>\n<p>10:30 &ndash\; 10:45&nbsp\;&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Coffee Break</p>\n<p>10.45 &ndash\; 12.15<strong>&nbsp\;</strong><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Michael Da Silva</strong>&nbsp\;(University of Ottawa/University of Southampton): Explainability\, Public Reason\, and Medical Artificial Intelligence</p>\n<p>12.15 &ndash\; 13.45&nbsp\;&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Lunch break</p>\n<p>13.45 &ndash\; 15.15<strong>&nbsp\;</strong><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Mahdi Khalili&nbsp\;</strong>(VU Amsterdam): Understandable Artificial Intelligence and Virtuous Characters</p>\n<p>15:15 &ndash\; 15:30&nbsp\;&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;Coffee break</p>\n<p>15.30 &ndash\; 17.00<strong>&nbsp\;</strong><strong>&nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\; &nbsp\;David Danks</strong>&nbsp\;(University of California\, San Diego): Governing Ethical Bias\, not Statistical Bias</p>\n<p>The conference will be a hybrid event. To register for in-person or online attendance\, please visit our website:&nbsp\;<a  href="https://www.frankfurt-school.de/home/research/conferences-workshops/ds-2022"  target="_blank">https://www.frankfurt-school.de/home/research/conferences-workshops/ds-2022</a>. 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<strong>&nbsp\;3 June</strong>. On the website\, you will also find further information regarding travel directions. If&nbsp\;you have any further questions\, please direct any enquiries to&nbsp\;<a  href="mailto:s.koehler@fs.de"  target="_blank">s.koehler@fs.de</a>.</p>\n<p><strong>&nbsp\;</strong></p>\n<p><strong>Organisers:<br></strong>Gregory Wheeler\, Peter K&ouml\;nigs\, and Sebastian K&ouml\;hler</p>\n<p>This is an event sponsored by the&nbsp\;<a  href="https://hmi.frankfurt-school.de/about/"  target="_blank">Centre for Human &amp\; Machine Intelligence (HMI)</a>\,&nbsp\;<a  href="https://www.frankfurt-school.de/home.html"  target="_blank">Frankfurt School of Finance &amp\; Management</a>&nbsp\;and&nbsp\;part of the project group Regulatory Theories of Artificial Intelligence of&nbsp\;the&nbsp\;<a  href="https://zevedi.de/en/"  target="_blank">Centre for Responsible Digitality&nbsp\;(ZEVEDI)</a>.</p>
ORGANIZER;CN="Sebastian Köhler";CN="Peter Königs";CN=Gregory Wheeler:
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