Throughout the unprecedented bombing campaign that has defined Israel's genocidal war on Gaza, Palestinians there have lived with a near constant, inescapable sound of drones. It's a sound that signals death could be close. Hind Hassan tracks how the Israeli military has dramatically increased its use of drones and artificial intelligence (AI) to surveil, track and kill Palestinians. In Gaza, this technology has produced a kill rate higher than any other 21st-century conflict. But its implications are far greater – creating the potential for armies of the future to inflict maximum destruction on their targets with minimal risk to themselves.

The Metropolitan police's claims that their use of live facial recognition is bias-free are not substantiated by the report they cite to support their case, a leading expert on the technology has said. The Met is planning its biggest and most high profile use of LFR yet this bank holiday weekend at Notting Hill carnival in west London. The Guardian understands it will be deployed at two sites on the approaches to the carnival, with the force insisting on its use despite the Equality and Human Rights Commission saying police use of LFR is unlawful. The new claims come from Prof Pete Fussey, who led the only independent academic review of police use of facial recognition, is a former reviewer of LFR for the Met from 2018-19, and currently advises other forces in the UK and abroad on its use. The Met says it has reformed its use of LFR after a 2023 study it commissioned from the National Physical Laboratory (NPL) and it is now, in effect, bias-free. But Fussey said: "The claims the Met are making about the absence of bias from the NPL report are not substantiated by the facts in that report."

In contrast, we show that the computation of one PI-explanation for an NBC can be achieved in log-linear time, and that the same result also applies to the more general class of linear classifiers. Furthermore, we show that the enumeration of PI-explanations can be obtained with polynomial delay.

Recent work used mathematical programming, which is computationally slow.

Interpretable and explainable machine learning has seen a recent surge of interest.