Interesting read from Burges Salmon on AI. Tom Whittaker shares some useful pointers on a new US National Institute for Science and Technology (NIST) draft report which identifies three main categories of risk of which those designing, developing and using AI should be aware of.

His run down on each category is useful and I urge you to have a read. His points on human vs machine (or rather the two working together symbiotically) are important in my opinion.

He said, “assessments of an AI system or a decision deriving from AI ought to be able to be scrutinised by a human.” As he explains, this is an important aspect of gaining public trust, but I think we would go one further to say it’s more than just garnering trust- it is integral for effectiveness too.

Technology can be a fantastic tool for uncovering and gathering information, especially since so much intelligence and evidence is stored electronically. But at the end of the day, the key is empowering the human to be more effective.