Keynote 2: AI Innovation, Ethics & Diversity


Date & Time

Monday, 25 Feb

12:30 - 13:30


Hall 4 - Auditorium 1


The conventional wisdom is that when it comes to bias in decision-making, artificial intelligence is the great equaliser. Superficially, it makes sense: if we delegate complex decisions to AI, it becomes all about the maths, cold calculations uncoloured by the bias or prejudices we may hold as people. As we’ve entered the infancy of the AI age, the fallacy in this thinking has revealed itself in some spectacular ways. The key to avoiding algorithmic bias is in striving to avoid discrimination (including that which is inadvertent) in the data that is provided to the AI in the first place. Code that learns is both powerful and dangerous, especially when it is controlled by a dominant minority. It threatens the basic rules of markets and civic life. AI requires a new technical and civic infrastructure, a new way to conduct business, a new way to be together in community. If AI is going to be the interface between people and critical services they need, how is it going to be fair and inclusive? How is it going to engage and support the marginalized people and the most vulnerable in our society? We are at a critical inflexion point, and have much to consider, if we are going to make the right decisions that will have ramifications for years to come.

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