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Transcript 
Public policy in many countries favours the development and application of machine learning and other technologies broadly designated as “artificial intelligence” – with a view of boosting economy, streamlining the processes in the public sector and improving the peoples’ quality of life. To that end, human decision-making is replaced or supplemented by automation, and automated decision-making already affects millions of people in Europe and around the world.
The long-term result, however, might be a net harm, if automated systems merely reproduce the flaws of human decision-making due to inappropriate bias in the systems’ input data and generate new bias because deep learning even creates bias with perfect data
But if to err is human, is it even feasible to avoid bias altogether – either in human or automated decision-making?
And provided that the bias problem can be managed, are there any other substantial problems with using AI for taking significant decisions?
The goal of this workshop is to inform the discussion on AI policy and regulation in Europe and to further the understanding of these problems by the public at large
More details on the wiki.
