When we don’t know much about a new technology, we talk in generalisations. Those generalisations are often also extreme: the utopian drives of those who are developing it on one hand, and the dystopian visions that help society look before it leaps on the other.

These tensions are true for machine learning, the set of techniques that enables much of what we currently think of as Artificial Intelligence. But, as the Royal Society’s recently published report Machine learning showed, we are already at the point where we can do better than the generalisations; give members of the public the opportunity to interrogate the “experts” and explore the future, and they come up with nuanced expectations in which context is everything.

The Society’s report was informed by structured public dialogue, carried out over six days in four locations.

Read more: From chatbots to self-driving cars: what worries people about machine learning?

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Published by Mike Rawson

Mike Rawson has recently re-awoken a long-standing interest in robots and our automated future. He lives in London with a single android - a temperamental vacuum cleaner - but is looking forward to getting more cyborgs soon.

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From chatbots to self-driving cars: what worries people about machine …

by Mike Rawson time to read: 1 min
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