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Key Takeaways
Dr. McGregor will discuss recognizing that all AI systems fail ensures success with three critically important cultures: data-centric culture, benchmarks, and third-party audit. Join us to hear from someone working in an integral role in the AI Incident Database, which is dedicated to indexing the collective history of harms or near harms realized in the real world by the deployment of artificial intelligence systems. Like similar databases in aviation and computer security, the AI Incident Database aims to learn from experience so we can prevent or mitigate bad outcomes.
More About Dr. Sean McGregor
Sean McGregor is a machine learning safety researcher whose efforts have included starting up the Digital Safety Research Institute at the UL Research Institutes, launching the AI Incident Database, and training edge neural network models for the neural accelerator startup Syntiant. Sean's open source development work has earned media attention in the Atlantic, Der Spiegel, Wired, Venture Beat, and Vice, among others, while his technical publications have appeared in a variety of machine learning, human-computer interaction, ethics, and application-centered proceedings.


