Venue
Swiss Re Centre for Global Dialogue
Swiss Re Centre for Global Dialogue, Gheistrasse 37, 8803 Rüschlikon, Switzerland

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Event Date Tue Jun 16 CEST (over 1 year ago)
In your timezone (EST): Tue Jun 16 2:00am - Tue Jun 16 11:00am
Location Swiss Re Centre for Global Dialogue
Gheistrasse 37, 8803 Rüschlikon, Switzerland
Region EMEA
Details

Robots control our money. Robots manage our relationships. Robots recommend surgeries. In fact, AI is supporting us in ever more aspects of our lives. However, many of us lose trust in services we perceive as black boxes. Yet, trust is what holds economies together.

This conference discusses whether black boxes need to be made more transparent. It explores what it takes for consumers to let go of responsibility and accept judgements they do not understand. We will address questions regarding the governance of AI, such as:

• Which frameworks will help make AI accountable and transparent?
• How can we control AI to be fair?
• Will we ever trust businesses that use black boxes?
• Will social scores ultimately define our interactions?

Speakers

2020 Speakers

Clemens Aichholzer
Chief Corporate Development Officer, HireVue

Jeffrey Bohn
Chief Research Officer, Swiss Re Institute

David Bosshart
CEO, Gottlieb Duttweiler Institute

Tomas Casas i Klett
Professor and Director China Competence Center, University of St. Gallen

Calum Chace
Author

Alessandro Curioni
IBM Fellow, Vice President IBM Europe, and Director, IBM Research Zurich

Urs Gasser
Executive Director, Berkman Klein Center for Internet & Society, Harvard University

Florian Inhauser
Journalist and moderator

Xiao Jing
Group Chief Scientist, Ping An Insurance Company

Pascale Lenz
Head of Human Resources, IBM Switzerland

Andrea Martin
Leader and Member of the German Parliament Commission for AI (Enquête Kommission), IBM Watson IoT Center Munich

Yves-Alexandre de Montjoye
Assistant Professor (Lecturer), Imperial College London

Cathy O'Neil
Founder, ORCAA, algorithmic auditing company

Sponsors & Partners

2020 Partners

• Swiss Re Insitute
• IBM Research