Automated decision making systems are things like a set of traffic lights or a robot in a car or computer manufacturing facility. But automation is no longer just about robots making things: increasingly, it involves computers making decisions. We rely on computers to process data, make predictions, apply rules, choose actions and determine outcomes. Automated decision-making comprises an expanding array of intelligent technologies – from deep learning to blockchains – which promise to solve challenging problems across many sectors, from healthcare and social services to transport and media. This is why we think having a deep understanding of the impacts and implications is important. -Photo by Liam Seskis on Unsplash

Automated decision making systems are things like a set of traffic lights or a robot in a car or computer manufacturing facility. 
But automation is no longer just about robots making things: increasingly, it involves computers making decisions. 
We rely on computers to process data, make predictions, apply rules, choose actions and determine outcomes. 
Automated decision-making comprises an expanding array of intelligent technologies – from deep learning to blockchains – which promise to solve challenging problems across many sectors, from healthcare and social services to transport and media. 
This is why we think having a deep understanding of the impacts and implications is important. -Photo by Liam Seskis on Unsplash

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