Using AI to mitigate AI bias
Tonya Hall talks to Chad Steelberg, co-founder, chairman, and CEO of Veritone, about ways that AI can now be used to lessen the severity of bias from AI.
AI is one of the most rapidly growing domains today. Keeping track and taking stock of AI requires not just constant attention, but also the ability to dissect and evaluate across a number of dimensions. This is exactly what Air Street Capital and RAAIS founder Nathan Benaich and AI angel investor, and UCL IIPP Visiting Professor Ian Hogarth have done.
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In the aptly titled State of AI Report 2019 published on June 28, Benaich and Hogarth embark on a 136-slide long journey on all things AI: technology breakthroughs and their capabilities, supply, demand and concentration of talent working in the field, large platforms, financing and areas of application for AI-driven innovation today and tomorrow, special sections on the politics of AI, and AI in China.
Benaich and Hogarth are more than venture capitalists: They both have extensive AI background, having worked on a number of AI initiatives, from research to startups. Furthermore, they draw on the expertise of prominent figures such as Google AI Researcher and lead of Keras Deep Learning framework François Chollet, VC and AI thought leader Kai-Fu Lee, and Facebook AI Researcher Sebastian Riedel.
This collective work is the accumulation of rich expertise, experience and knowledge. Spotting and reading the report, we reached out to Benaich, with whom we had an extensive Q&A session. We distill the report, and Benaich’s insights, in a series of two posts, starting with technology breakthroughs and capabilities, and moving to their implications and the politics of AI.
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