Directive Explanations for Actionable Explainability in Machine Learning Applications

no code implementations • 3 Feb 2021 • Ronal Singh, Paul Dourish, Piers Howe, Tim Miller, Liz Sonenberg, Eduardo Velloso, Frank Vetere

This paper investigates the prospects of using directive explanations to assist people in achieving recourse of machine learning decisions.

BIG-bench Machine Learning counterfactual

Explainable AI: Beware of Inmates Running the Asylum Or: How I Learnt to Stop Worrying and Love the Social and Behavioural Sciences

no code implementations • 2 Dec 2017 • Tim Miller, Piers Howe, Liz Sonenberg

As a result, programmers design software for themselves, rather than for their target audience, a phenomenon he refers to as the `inmates running the asylum'.

Philosophy