IOAP - Questions to ask when using AI in public sector algorithmic decision making - Eddie Copeland

Data, Idea on a Page, Tech Policy

10 Questions to ask when using AI in public sector algorithmic decision making

18 Sep , 2018  

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I’ve previously posted ideas for what might feature in a code of standards on this subject. Based on lots of your feedback, I turned that code into 20 questions, which I hoped might be more helpful to practitioners. I’ve previously blogged on why I think it’s necessary to ask any new questions at all. But I should have realised that 20 was simply too large a set to be practically useful.

As a result, below you will find a list of just 10 questions that incorporate the most important elements of what I was trying to say.

Put simply, this is the minimum set of questions I think public sector organisations should be able to answer before they make use of AI in algorithmic decision making. If the context in which such an algorithm is used is mundane, simple and low risk, then the questions should take just a few minutes to answer. If the context is consequential, complex and high risk, they will rightly take much longer.

As always, I’d welcome your feedback on the two versions below. Let me know your thoughts on Twitter @EddieACopeland.

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IOAP - Questions to ask when using AI in public sector algorithmic decision making - Eddie Copeland

Portrait Version

Questions to ask when using AI in public sector algorithmic decision making Nesta Eddie Copeland - List

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