When Is AI Actually Explainable? - AI Summary

It covers a research field where a wide variety of experts come together: mathematicians, engineers, psychologists, philosophers and regulators, which makes it one of the most interesting. People make noisy, inconsistent decisions based on assumptions that are sometimes hard to check, and so does AI. The European Commission has recently published a proposal for what is going to be the first attempt ever to insert AI systems and their use in a coherent legal framework. The proposal explicitly refers to the risk of AI systems not being explainable and possibly being biased as a result. To me (and the people at Deeploy), explainability of AI means that everyone involved in algorithmic decision-making should be able to understand well enough how decisions have been made.