Artificial Intelligence (AI) is increasingly becoming important to be able to understand why and how it can make a decision as nowadays in is quite popular at work, home, and public life. Explainable AI is not only a matter of hitting a switch. Experts from Fiddler Labs, SRI, UC Berkeley will discuss how they should go about that on stage at the TC Sessions: Robotics + AI on 3rd March.
Now, what does explainability usually mean? Do we really need to begin from scratch? Well, on our panel mentioning these questions and more will become two experts and one each from the private and academia-industry.
Trevor Darrell, a professor of the Computer Science department in Berkeley, helps to lead several AI-related projects and labs of the university, particularly those who are well concerned with the following generation of smart transportation. His research team concentrates on the perception and human-AI interaction
Krishna Gade has spent his time via Pinterest, Twitter, Facebook, and Microsoft. He also has seen firsthand on how the AI is expanded privately, and how flawed processes and biases can lead to some troubling results. He co-founded the Fiddler as an effort to mention the problems of transparency and fairness by providing an understandable AI framework for the enterprise.
Moderating and taking part in the discussion will be the SRI International’s Karen Myers – the director of the research outfit’s Artificial Intelligence Center as well as an AI developer herself with a strong concentration on automation, multi-agent and collaboration systems.
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