Toby Walsh | Mutant Algorithms

By 2062, experts estimate that we will have created machines as intelligent as humans. Already AI has become so integrated into our everyday lives that it’s often hard to detect… from home robots to smartphones telling you the fastest route home at the press of a button. 

So what happens when those algorithms go wrong? Can AI be devious? And how can we be sure that we don’t lose the human touch when we get zeros and ones to do the work for us?

Computers can be frighteningly smart in some ways, but dangerously dim in other ways. We’ve seen plenty of examples in the news of algorithms exacerbating racial profiling, swaying election results, or increasing the spread of misinformation. 

The success of AI means we can and should hand over many routine decisions to machines, but we must ensure we are vigilant in preventing unconscious bias and unintended consequences that creep unnoticed into the algorithms we create.

In less than 10 minutes, or roughly the same amount of time it takes a computer to win a million games of chess, Scientia Professor of Artificial Intelligence Toby Walsh will explore how we can make sure mutant algorithms don’t go too far.

To access a transcript of this podcast please head here.
 

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