Theme: TEDxKTH Salon: AI – what should we focus on?

Professor Hedvig Kjellström gives a talk entitled ”AI with a Human in the Loop”, in other words, AI systems that do things together with humans, supporting and empowering the human collaborator. This is partly different from the strive towards general, completely autonomous AI.

The talk is followed by a discussion with the student panel about what is the most important focus in the future: autonomous AI or AI with a human in the loop?

Speaker: Hedvig Kjellström, Professor, Division of robotics, perception and learning, KTH
Moderator: Donnie Lygonis, KTH Innovation
Panel: Kiran Chatre and Nathan Bosch, Members of the KTH AI Society, KTH

KTH Royal Institute of Technology Library
Osquars Backe 31
Osquars Backe 31
Stockholm, Stockholms län, 114 28
Sweden

DONNIE SC LYGONIS

Innovation Strategist & Business Development Coach

Donnie has been working with entrepreneurship and innovation for over 25 years. For the past eleven years he has helped shape and build KTH Innovation, the innovation support office at KTH. He is an appreciated speaker on innovation and creativity, having spoken at 5 TEDx events. In 2015, he spent a year in Silicon Valley as a part of a Vinnova/Wallenberg Fellowship program, during which he worked at the Nordic Innovation House in Palo Alto.

HEDVIG KJELLSTRÖM

Professor in the Division of Robotics, Perception and Learning at KTH

Hedvig is a Professor at KTH, a Lead AI Scientist at Silo AI and an affiliated researcher in the Perceiving Systems Department, Max Planck Institute for Intelligent Systems in Tübingen, Germany. She does research in Computer Vision and Machine Learning, and the general theme of her research is methods for enabling artificial agents to interpret the behavior of humans and other animals, and also to behave in ways interpretable to humans. I do research in Computer Vision and Machine Learning. The general theme of my research is methods for enabling artificial agents to interpret the behavior of humans and other animals, and also to behave in ways interpretable to humans. As outlined in the Portfolio pages, these ideas are applied in Performing Arts, Healthcare, Veterinary Science, and Smart Society. I teach in the Bachelor program Engineering Mathematics and in the Master programs Machine Learning, Computer Science and Systems, Control and Robotics at KTH

KIRAN CHHATRE

Education team at the KTH AI Society

Kiran is a Ph.D. student at KTH EECS in Machine Learning methods for motion synthesis. He has a master’s degree in Computational Mechanics from RWTH Aachen University, Germany. He has previously worked on Robotics and Machine Learning with Berkeley Lab USA, IBM Research Germany, APS GmbH (McKinsey & Co.) Germany, and Dassault Systemes (Germany and India).

NATHAN BOSCH

Head of Education at the KTH AI Society

Nathan Bosch is the Head of Education at the KTH AI Society and is currently pursuing a Master’s degree in Machine Learning at KTH. He has more than three years’ experience in AI and ML, holding a Bachelor’s degree in Artificial Intelligence from the University of Groningen, and has close to two years of work experience in applying Machine Learning for log analysis at Ericsson.