01: Künstliche Intelligenz und Governance: Freiheit, Vertrauen, Sicherheit
Unterstützt von Bundesministerium für Bildung, Wissenschaft und Forschung
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Breakout
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in englischer SpracheKünstliche Intelligenz (KI) und Big Data haben sich während der letzten Jahre zu wichtigen Begriffen in der öffentlichen Debatte entwickelt. Wirtschaft, Wissenschaft und Politik erhoffen sich neue Erkenntnisse und robustere, vermeintlich „evidenzbasierte“ Handlungsempfehlungen. Was sind die politischen, sozialen und ethischen Folgen einer „automatisierten“ Wissensproduktion und -verwertung? Was sind Potenziale, Grenzen und Gefahren? Wie gehen Politik und Verwaltung produktiv mit den ethischen Herausforderungen von KI und Big Data um und wie können eigenständige, europäische Antworten auf diese Herausforderungen aussehen? Welche (neuen) Formen von Governance werden dazu notwendig sein?
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Dr. Paula BODDINGTON
Senior Research Fellow, School of Biomedical Sciences, Cardiff University, Cardiff
| 1982-1992 | Lecturer, Philosophy Department, Bristol University, Bristol |
| 1992-1997 | Lecturer, Philosophy Department, Australian National University, Melbourne |
| 2003-2007 | Senior Research Fellow, Centre for Economic and Social Aspects of Genomics, Cardiff University, Cardiff |
| 2007-2010 | Senior Researcher, Ethox Centre, Division of Medical Sciences, Oxford University, Oxford |
| 2010-2015 | Lecturer, various colleges, Oxford University, Oxford |
| 2015-2018 | Senior Researcher, Department of Computer Sciences, Oxford University, Oxford |
| since 2017 | Senior Research Fellow, School of Biomedical Sciences, Cardiff University, Cardiff |
Meredith BROUSSARD
Assistant Professor, Arthur L. Carter Journalism Institute, New York University, New York
| Data journalist Meredith Broussard is an assistant professor at the Arthur L. Carter Journalism Institute of New York University and the author of "Artificial Unintelligence: How Computers Misunderstand the World.". Her academic research focuses on artificial intelligence in investigative reporting, with a particular interest in using data analysis for social good. She is also interested in reproducible research issues and is developing methods for preserving innovative digital journalism projects in scholarly archives so that we can read today’s news on tomorrow’s computers. She is an affiliate faculty member at the Moore Sloan Data Science Environment at the NYU Center for Data Science, a 2019 Reynolds Journalism Institute Fellow, and her work has been supported by the Institute of Museum & Library Services as well as the Tow Center at Columbia Journalism School. A former features editor at the Philadelphia Inquirer, she has also worked as a software developer at AT&T Bell Labs and the MIT Media Lab. |
Patrice CHAZERAND
Director for Digital Trade and Taxation, DIGITALEUROPE, Brussels
Dr. Sepp HOCHREITER
Professor and Head, Institute for Machine Learning, Johannes Kepler University Linz
| Sepp Hochreiter leitet das Institut für Machine Learning, das LIT AI Lab und das Audi.JKU Deep Learning Center der Johannes Kepler Universität in Linz. Er forscht auf dem Gebiet des maschinellen Lernens und ist ein Pionier des boomenden Forschungsfeldes Deep Learning, das gerade die künstliche Intelligenz revolutioniert. Bekannt wurde Prof. Hochreiter durch die Entdeckung und Entwicklung von "Long Short Term Memory" (LSTM) in seiner Diplomarbeit im Jahre 1991, welche später 1997 publiziert wurde. In jüngster Zeit hat sich LSTM zur besten Methode für Sprach- und Textverarbeitung entwickelt, wo es neue Rekorde aufstellte. Seit 2012 wird LSTM in Google’s Android Spracherkenner verwendet, seit 2015 in Google’s Voice Transcription, seit 2016 in Google’S Allo und auch seit 2016 in Apple’s iOS 10. Zurzeit treibt Prof. Hochreiter die theoretischen Grundlagen von Deep Learning voran, indem er den Gradientenfluss durch neuronale Netze analysiert, das Konzept von "Self-Normalizing Networks" entwickelt und "Generative Adversarial Networks" (GANs) sowie "Reinforcement"-Algorithmen verbessert. Derzeitige Projekte umfassen Deep Learning für Medikamentenentwicklung, für Text- und Sprachanalyse, für Bildverarbeitung und im speziellen für autonomes Fahren. |
MBA Tim O'BRIEN
General Manager AI Programs, Microsoft Corporation, Redmond, WA
| BS, Engineering, Purdue University | |
| MBA, Kellogg Graduate School of Management, Northwestern University | |
| 1995-1999 | Senior Consultant, Comdisco |
| 2000-2003 | Director of Marketing, Performant |
| 2003-2012 | General Manager, Platform Strategy, Microsoft Corporation, Redmond, WA |
| 2013-2017 | General Manager, Global Communications, Microsoft Corporation, Redmond, WA |
| since 2018 | General Manager, AI Ethics Advocacy and Evangelism, Microsoft Corporation, Redmond, WA |
| Currently enrolled in the University of Washington School of Law Master of Jurisprudence program |
Dr. Jack STILGOE
Associate Professor, Department of Science and Technology Studies, University College London
| Dr Jack Stilgoe is an associate professor in Science and Technology Studies at University College London. He teaches and researches the governance of emerging technology. He is Principal Investigator of the Driverless Futures? Project, a three year social science project looking at the governance of self-driving cars. His new book, Who’s driving? New technologies and the collaborative state, will be published in Autumn 2019. He is also the author of Experiment Earth - Responsible innovation in geoengineering. He previously worked in science and technology policy at the Royal Society and the think tank Demos. He is a fellow of the Turing Institute and a Trustee of Involve, a public participation think tank. |
Dr. Klement TOCKNER
Professor of Aquatic Ecology, Freie Universität Berlin; President, Austrian Science Fund, Vienna
| 1993 | PhD, Zoology & Botany, University of Vienna |
| 1993-1994 | Freshwater consultant, Rwanda and Uganda, Africa |
| 1994-1996 | Postdoctoral fellow, University of Vienna |
| 1996-1999 | Assistant professor, ETH Swiss Federal Institute of Technology, Zurich |
| 1999-2007 | Group leader, EAWAG, Dübendorf |
| 2002 | JSPS Fellow, Sendai, Japan |
| 2004-2005 | Guest scientist, Cary-Institute of Ecosystem Studies, Millbrook |
| since 2005 | Titulary Professorship, ETH Swiss Federal Institute of Technology in Zurich |
| 2007-2016 | Director, IGB Leibniz-Institute of Freshwater Ecology and Inland Fisheries, Berlin |
| since 2007 | Professor, Aquatic Ecology, Freie Universität Berlin |
| since 2016 | President, FWF Austrian Science Fund, Vienna |
| since 2017 | Chairman, OeAWI - Austrian Agency for Research Integrity, Vienna |
Mag.a Marie-Louise LONGIN
Advisor, Directorate General for Scientific Research and International Relations, Austrian Federal Ministry of Education, Science and Research, Vienna
Dr. Ulrike FELT
Professor, Science and Technology Studies, Faculty of Social Sciences, University of Vienna
| 1983 | Ph.D in Physics (Theoretical High Energy/Minor Mathematics) |
| 1997 | Habilitation in Sociology of Science & Social Studies of Science, University of Vienna |
| 1983-1988 | Researcher Associate, CERN - European Centre for Nuclear Research, Geneva |
| 1988-1989 | Third-Party funded researcher, Department of Philosophy of Science and Social Studies of Science, University of Vienna |
| 1989-1997 | Assistant Professor, University of Vienna |
| 1997-1998 | Professor, GERSULP - Groupe d'Etude et de Recherche sur les Sciences Université Louis Pasteur, Strasbourg |
| 1997-1999 | Associate Professor, Department for Philosophy of Science and Social Studies of Science, University of Vienna |
| since 1999 | Professor of Science and Technology Studies, University of Vienna |
| 2004-2014 | Head of the Department of Science and Technology Studies, University of Vienna |
| 2009-2014 | Vice-Study Program Director Sociology; MA Program Science-Technology-Society, University of Vienna |
| 2012-2014 | Vice-dean for Research of the Faculty of Social Sciences, University of Vienna |
| 2014-2018 | Dean of the Faculty of Social Sciences, University of Vienna |
| 2015-2018 | Head of the Interdisciplinary Research Platform "Responsible Research and Innovation in Academic Practice", University of Vienna |
