Risk Center Workshop Autonomous Decision-Making: Assessing the Technology and its Impact on Industry and Society Wednesday, 25 October 2017, 8.30 16.30 Swiss Re Centre for Global Dialogue, Rüschlikon Registration: Please register electronically at www.event.ethz.ch/ws2510. Space is limited. Registration Fee: CHF 150.00. Registration closes on 17 October 2017. The workshop fee cannot be refunded for cancellation after this date. Additional Information: This workshop will grant 6 credit points under the Continuing Professional Development (CPD) Programme for members of the SAA Actuaries section. In cooperation with
Autonomous Decision-Making: Assessing the Technology and its Impact on Industry and Society Machine learning methods penetrate many forms of life, including health care, manufacturing, education, banking, policing and many more. Often the search for more efficiency drives the integration of intelligent evidence based decision-making systems leaving behind traditional human-led decision-making systems. This in turn challenges the role humans play in the design and operation of these systems and triggers many concerns, ranging from interpretability of the outcomes to complexity and transparency of the process, and responsibility of failures. As machines already perform many forms of routine manual labor successfully, recent advances in machine learning allow to expect that they will perform more routine cognitive tasks too. The speed at which this development takes place fosters uncertainty about the chances and limitations of mimicking human cognitive features as well as the future of work. Aim of the Workshop: The workshop will explore the rapid integration of intelligent decision-making technologies into various aspects of our daily life and reflect on the cognitive features and biases inherent to human decision-making. Leading experts in these fields, ranging from computer science, psychology, engineering, economics, political science to industry will give insights into state-of-the-art technology and practice. We will discuss under which conditions this technology might confidently be rolled out and what impact it has on society. Structure: Part I of the workshop will focus on the technology and those cognitive aspects of humans that determine the interaction of humans and machines. We will assess which cognitive tasks might be automated with given technology. Industry experts give insights into latest applications. Part II of the workshop will assess the economic impact of the integration and the future of work as well as ethical challenges for system engineers and users. Each part closes with a panel discussion and a general sharing of experiences and concerns. During lunch break, we invite you to experience the latest technologies developed by ETH spin-offs. We look forward to your participation! Best regards Bastian Bergmann, Executive Director, ETH Risk Center Stephan Schreckenberg, Head Strategy & Development, Swiss Re Institute
Programme 8:00 Welcome Coffee 8:30 Opening Addresses Rainer Baumann, Managing Director, Head Group Digital & Information Service, Swiss Re Prof. Antoine Bommier, ETH Risk Center and Chair of Integrative Risk Management and Economics, ETH Zurich Part I: Scope and Limits of the Technology Humans vs. Machines 8:45 Prof. Thomas Hofmann, Institute for Machine Learning, ETH Zurich A.I.: A Genie in the Bottle? Capabilities of Intelligent Machines and What (not) to Do with Them 9:20 Prof. Thomas Hills, Department of Psychology, University of Warwick Making Better Decisions in a Complex World 9:55 Prof. Christoph Hölscher, Chair of Cognitive Science, ETH Zurich Distributing Decision-Making between Human and Computer Interaction and Machine Intelligence 10:30 Coffee Break 11:00 Nico Lavarini, Chief Scientist, Expert System, Italy Real Cognitive Automation by Deep Text Understanding 11:35 Part I Panel Discussion Prof. Patrick Cheridito, ETH Risk Center and Chair of Mathematics, ETH Zurich Olivier Verscheure, Executive Director, Swiss Data Science Center Martin Schuerz, Managing Director, Head Risk Engineering Services, Swiss Re and Speakers Guiding Questions: How explainable is the algorithm to the users and what does interaction look like? How can we recognize and correct a (systematic) error in the data? As Big Data is not neutral how risk averse is the algorithm? What if there is no Big Data available? What are the challenges of the integration from a risk-engineering point of view?
12:20 Lunch Break Live Demonstrations of ETH Spin-offs 1plusX: From Data to Predictions DeepCode: From Code to Predictions Veezoo: Ask the Company Brain Part II: Society and The Future of Work 13:50 Daniel Castro, Information Technology and Innovation Foundation, Washington, DC The Impact of the Algorithm Economy on Industries, Firms, and Workers 14:25 Prof. Sarah Spiekermann, Institute for Management Information Systems, Vienna University P7000 IEEE s First Ethical System Engineering Standard 15:00 Coffee Break 15:30 Part II Panel Discussion Prof. Hans Gersbach, ETH Risk Center and Chair of Macroeconomics: Innovation and Policy, ETH Zurich Andreas Spiegel, Head Group Sustainability Risk, Swiss Re and Speakers Guiding Questions: What determines algorithmic governance? Do we have other requirements for machines than for humans when they should make decisions? What are the arguments in favor of human involvement in the decision-making processes across different domains (politics, business, health care)? What is the picture of the transition process across the Swiss economy? 16:20 Closing Remarks
Venue: Swiss Re Centre for Global Dialogue Swiss Re Centre for Global Dialogue Gheistrasse 37 8803 Rüschlikon Switzerland Tel: +41 43 285 8100 How to get there: From Zurich Airport take train (S2) to Thalwil. From Zurich Main Station take train (S2, S8, S24) to Thalwil. Once you are in Thalwil, you may take a taxi to the Centre (~ CHF 30.00). See map below for transfers from town.
Contact ETH Zurich Risk Center Scheuchzerstrasse 7 8092 Zurich Switzerland www.riskcenter.ethz.ch info-riskcenter@ethz.ch ETH Zürich, March 2016