Man and Machine
Artificial Intelligence (AI) seems to be everywhere today – with applications in almost all fields of modern science. From robotics and biology to chemical engineering and healthcare, applying AI positions most scientific fields for progress. AI will surely change the scientific discovery process, but are we ready to take advantage of AI and do we really understand its impact on science and society?
Governments increasingly view AI as a primary driver of future growth, competitiveness, and national security. While the policy responses to AI differ significantly from country to country, political and technology leaders ultimately aim to secure a top spot in this emerging field. It is from this position that they can establish a vision for AI – ideally one that engenders trust and focuses on the needs of humanity.
This symposium brings together leading experts who will not only unveil the mystery that often shrouds new technologies, but also present stellar AI-enabled advances in various fields of science. Researchers from ETH Zurich and other institutions will introduce various facets of AI and openly discuss conceptual opportunities, as well as point to the technology’s current practical and abstract limitations.
ETH Symposium at the Berlin Science Week 2019
Thursday, 7 November 2019
18.00-19.30
Venue:
Berlin Science Week 中国足球彩票, Museum für Naturkunde, Tristan Lounge
Invalidenstra?e 43, 10115 Berlin
RSVP
There is no charge to attend this event, however we kindly request that you reserve your seat in advance external page here.
Download Programme (PDF, 258 KB)
Moderation:
external page Shalini Trefzer, Contributing Editor, Diplomatic Courier
Speakers:
Olga Fink (ETH Zurich)
Artificial Intelligence: Learning the Unknown
Gisbert Schneider (ETH Zurich)
Rethinking drug discovery in the artificial intelligence era
Sophie-Charlotte Fischer (ETH Zurich)
The Global Politics of Artificial Intelligence
external page Norman Sieroka (Universit?t Bremen & The Turing Centre at ETH Zurich)
Applied Philosophy of Artificial Intelligence
Alexis Block (ETH Zurich)
Emotional Intelligence: Equipping Robots with a different kind of Artificial Intelligence