Artificial intelligence is everywhere – it selects the next video on YouTube and your route on Google Maps. But soon, AI will make decisions that significantly impact your life – diagnosing illnesses, performing surgery, and driving your kids’ school bus. The stakes are high. Bradley Hayes argues that we can only trust AI if we understand how it makes decisions and why. We need explainable AI. Bradley Hayes directs the Collaborative AI and Robotics Research Lab at the University of Colorado Boulder, where he is an Assistant Professor. As CTO of Circadence Corporation, he develops revolutionary educational programming to expand the cybersecurity workforce. He completed a Ph.D. in Computer Science at Yale University’s Social Robotics Lab and was a postdoctoral associate in MIT’s Interactive Robotics Group. Currently, he’s developing novel explainable AI techniques for safe human-robot collaboration. He will never say no to sushi. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx
“AI isn’t magic, it’s just math under the covers.” We should all be responsible and ethical while using data and Jennifer Marsman gives some good reasons for that.
See Jennifer’s presentation from WROC# 2019: https://youtu.be/JXNO_d0c0pk
How is our relationship with ever changing AI shaping our lives in the digital age? Fintan explores how and why we need to we ensure this powerful tool is used for good and not sinister purposes. Fintan is an entrepreneur who runs a successful, international intranet software business. He has built a in-depth knowledge of Enterprise technology and is passionate about Open Source, open standards and how technology can help humanity.
He is a regular speaker on Open Source, cyber security, blockchain, AI and how they fit in to complex organisations like UK central and local governments. This talk was given at a TEDx event using the TED conference format but independently organized by a local community. Learn more at https://www.ted.com/tedx