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RETHINKING Humans and Machines

ETH Zürich | Chris Luebkeman, Liat Grayver, Alexander Ilic, Adina Popescu

RE-VOLUTION of the working relationship between humans and machines in the AI Age

The future of robotics and machine learning will be about how humans and machines can form the best teams. From robotics and biology to law and art, they can, and will, relate to each other in many different ways. Artificial Intelligence (AI) has changed the scientific discovery process. And, more profoundly, it is altering our understanding of the fundamentals of human creativity. We should not be sizing up the potential of humans nor machines in isolation. Designers must investigate solutions whereby humans and machines complement each other, maximizing the potential of both. We need to develop and build interactive human-machine platforms to challenge conventional approaches.

This event is part of ETH Zurich’s RETHINKING LIVING campaign. We are all feeling massive change across just about every aspect of our lives. Climate change, the destruction of biodiversity, the coronavirus pandemic and technological disruptions present threats, but more importantly, an opportunity to focus on grand challenges, to embrace deeper meaning, and to rediscover overlooked aspects of our lives. RETHINKING LIVING convenes scientists, industry experts and outstanding global thinkers from ETH Zurich and across the world.

Photo: Impression from the show InComputable Imagery: Reimagining the brushstroke, Liat Grayver and e-David team, University of Konstanz, 2021.

This event is part of Zürich Meets Berlin, presented by ETH Zurich.

 

PUBLIC DISCUSSION VIA LIVESTREAM AND ON-SITE AT THE CAMPUS. PLEASE REGISTER.

This event is hybrid and will take place as part of the Berlin Science Week CAMPUS’.

On-Site: Admission is free. Please reserve your one or two-day ticket here. Please note: Pre-registration is requested for this event. Please send a short mail to office-president@ethz.ch to get a guaranteed place.

Digital: Shortly before the event begins, the stream will be made available on this site. Add the event to your favourites and receive a reminder via email.

About the Venue
CAMPUS
Invalidenstraße 43
Berlin, Berlin 10115 Germany

Chris Luebkeman is the leader of the Strategic Foresight Hub in the Office of the President at ETH Zurich. He combines an attitude of pragmatic optimism with curiosity and a deep sense of planetary responsibility to all of his collaborations. Dr Luebkeman’s career to date has spanned professions and geographies. His multidisciplinary education (geology, civil engineering, structural engineering, entrepreneurship and a Doctorate in Architecture) was encouraged by his Mid-​Western family of educators. His journey included Vanderbilt, Cornell and ETH Zurich. Before his assignment as Head of Foresight at ETH Zurich, he joined the global engineering consultancy Arup in London to lead the Research and Development group in 1999. He became a corporate intrapreneur by founding the Foresight, Innovation and Incubation teams.

More events with Chris Luebkeman

Sat | Nov 05, 2022 | 05.30 PM - 07.00 PM Berlin Time

RETHINKING Cities

Liat Grayver

ETH Zurich

Liat Grayver is a Berlin-based cross-disciplinary painter and media artist, investigating methods to redefine one of the primitive forms of art — painting — within the current technology-based era. Since January 2016, Grayver has been collaborating with the University of Konstanz on the development of the e-David painting robot, exploring various approaches to integrate robotic and computer languages in the processes of painting and creative image-making. She is an active member of SALOON — Network for Women of Berlin’s Art Scene, and an associate artist researcher at the Epistemologien ästhetischer Praktiken programme at ETH Zurich. In 2022 she co-founded the group EACVA – Embodied Agents in Contemporary Visual Art, a multi-disciplinary collaboration between artists, philosophers, psychologists and computer/robotics engineers dedicated to explore the use of robots at an interactive painterly tool, and how it influences the attribution of creativity, authorship, and agency to artificial systems.

Alexander Ilic is the Executive Director and a co-founder of the ETH AI Center. He completed his habilitation at University of St. Gallen (HSG), holds a PhD from ETH Zurich, and a MSc from TU Munich. Alex is a Swiss-German deep tech entrepreneur, researcher, and investor. He co-founded the computer vision start-up Dacuda which was acquired by Augmented Reality pioneer Magic Leap in 2017. He served as head of Magic Leap Switzerland from Feb 2017 to August 2020 where he built up the R&D Center of Excellence for Computer Vision & Deep Learning in Zurich and a R&D Center of Excellence for Advanced Photonics in Lausanne. He was named twice “Entrepreneur of the Year” (2011 by HSG, 2012 by EY) and won several entrepreneurship prizes including the Swiss Economic Award.

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Mon | Nov 07, 2022 | 02.00 PM - 11.30 PM Berlin Time

AI, Future, EUROPE

Adina Popescu is a pioneer in VR/AR, philosopher, and a creative technologist. She has advised Apple & Conservation International and Paramount Studios as early as 2014 on Virtual Reality, the Metaverse and storytelling, has advised Deutsche Bank and has trained McKinsey consultants on VR/AR. Over time she started publishing extensively on data privacy in a growing digitally connected world, based on her experiences in VR, real time data and digital twinning with a growing concern for privacy and human rights infringements. As a public speaker at the Energy Transition Dialogue, UNESCO and GEZ she advocated for decentralised digital frameworks and has advised the German Government on privacy preserving protocols. Adina is the Founder of ÆRTH: a decentralised environmental data lake that aims to simulate regeneration solutions for our planet – open sourced and distributed. Scientists, citizens, nationstates, industry and NGO´s will be equally able to access the same standardized environmental health models – with the goal of scaling solutions and aligning the flow of funds visibly.

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