For activist Issa Amro, the latest revelations from human rights group Amnesty International about Israel's ever-growing use of facial recognition technology against Palestinians come as no surprise. My people are suffering from it," he told Al Jazeera from Hebron. On May 2, Amnesty published a report titled Automated Apartheid, detailing the workings of Israel's Red Wolf programme – a facial recognition technology used to track Palestinians since last year that is believed to be linked to similar, earlier programmes known as Blue Wolf and Wolf Pack. The technology has been deployed at checkpoints in the city of Hebron and other parts of the occupied West Bank – scanning the faces of Palestinians and comparing them against existing databases. Palestinians, like anyone else, have the right to live in a world that upholds equality and dignity. Help dismantle Israel's apartheid and call for an end to the supply of facial recognition technologies used in the Occupied Palestinian ...

Palestinians in Hebron are some of the most heavily monitored and controlled people on the planet. In the first episode of a two-part special, Tariq Nafi reports from the occupied West Bank on the previously unknown facial recognition system'Red Wolf', uncovered by Amnesty International and Breaking the Silence.

More than 60 years after philosopher Ludwig Wittgenstein's theories on language were published, the artificial intelligence behind Google Translate has provided a practical example of his hypotheses. Patrick Hebron, who works on machine learning in design at Adobe and studied philosophy with Wittgenstein expert Garry Hagberg for his bachelor's degree at Bard College, notes that the networks behind Google Translate are a very literal representation of Wittgenstein's work. Google employees have previously acknowledged that Wittgenstein's theories gave them a breakthrough in making their translation services more effective, but somehow, this key connection between philosophy of language and artificial intelligence has long gone under-celebrated and overlooked. The translation service relies on an algorithm created by Google employees called word2vec, which creates "vector representations" for words, which essentially means that each word is represented numerically. For the translations to work, programmers have to then create a "neural network," a form of machine learning, that's trained to understand how these words relate to each other.