As AI permeates the home, work, and public life, it’s increasingly important to be able to understand why and how it makes its decisions. Explainable AI isn’t just a matter of hitting a switch, though; Experts from UC Berkeley, SRI, and Fiddler Labs will discuss how we should go about it on stage at TC Sessions: Robotics+AI on March 3.
What does explainability really mean? Do we need to start from scratch? How do we avoid exposing proprietary data and methods? Will there be a performance hit? Whose responsibility will it be, and who will ensure it is done properly?
On our panel addressing these questions and more will be two experts, one each from academia and private industry.
Trevor Darrell is a professor at Berkeley’s Computer Science department who helps lead many of the university’s AI-related labs and projects, especially those concerned with the next generation of smart transportation. His research group focuses on perception and human-AI interaction, and he previously led a computer vision group at MIT.
Krishna Gade has passed in his time through Facebook, Pinterest, Twitter and Microsoft, and has seen firsthand how AI is developed privately — and how biases and flawed processes can lead to troubling results. He co-founded Fiddler as an effort to address problems of fairness and transparency by providing an explainable AI framework for enterprise.
Moderating and taking part in the discussion will be SRI International’s Karen Myers, director of the research outfit’s Artificial Intelligence Center and an AI developer herself focused on collaboration, automation, and multi-agent systems.
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The road to “solving” self-driving cars is riddled with challenges, from perception and decision making to figuring out the interaction between humans and robots.
Today we’re announcing that joining us at TC Sessions: Robotics+AI on March 3 at UC Berkeley are two experts who play important roles in the development and deployment of autonomous vehicle technology: Anca Dragan and Jur van den Berg.
Dragan is an assistant professor in UC Berkeley’s electrical engineering and computer sciences department, as well as a senior research scientist and consultant for Waymo, the former Google self-driving project that is now a business under Alphabet. She runs the InterACT Lab at UC Berkeley, which focuses on algorithms for human-robot interaction. Dragan also helped found, and serves on, the steering committee for the Berkeley AI Research Lab, and is co-PI of the Center for Human-Compatible AI.
Last year, Dragan was awarded the Presidential Early Career Award for Scientists and Engineers.
Van den Berg is the co-founder and CTO of Ike Robotics, a self-driving truck startup that last year raised $52 million in a Series A funding round led by Bain Capital Ventures. Van den Berg has been part of the most important, secretive and even controversial companies in the autonomous vehicle technology industry. He was a senior researcher and developer in Apple’s special projects group, before jumping to self-driving trucks startup Otto. He became a senior autonomy engineer at Uber after the ride-hailing company acquired Otto .
All of this led to Ike, which was founded in 2018 with Nancy Sun and Alden Woodrow, who were also veterans of Apple, Google and Uber Advanced Technologies Group’s self-driving truck program.
TC Sessions: Robotics+AI returns to Berkeley on March 3. Make sure to grab your early-bird tickets today for $275 before prices go up by $100. Students, grab your tickets for just $50 here.
Startups, book a demo table right here and get in front of 1,000+ of Robotics/AI’s best and brightest — each table comes with four attendee tickets.
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