What do I mean by a cock-up? Well, @CDEIUK more tactfully call them “faulty or biased systems”. They include: 📌 Black women being twice as likely to have their passport photos rejected by the Home Office. 📌 The A-level saga 📌 The London Gangs Matrix— Rachel Coldicutt (@rachelcoldicutt) November 26, 2020

We’re used to medical chatbots giving dangerous advice, but one based on OpenAI’s GPT-3 took it much further. Researchers experimenting with GPT-3, the AI text-generation model, found that it is not ready to replace human respondents in the chatbox. Medical chatbot using OpenAI’s GPT-3 told a fake patient to kill themselves.

How many times have you seen an all-female and black and ethnic minority (BME) panel talking about technology? For many people their first time would have been the Shuri Network launch last July. The Shuri Network was launched in 2019 to support women of colour in NHS digital health develop the skills and confidence to progress into senior leadership positions and help NHS leadership teams more closely represent the diversity of their workforce.

With remote learning now the norm, universities are using surveillance software to keep tabs on students who are not engaging with their studies

Call for more transparency on how such tools are used in public services as 20 councils stop using computer algorithms. The Home Office recently stopped using an algorithm to help decide visa applications after allegations that it contained “entrenched racism”.

Can transparency bring accountability to public-sector algorithmic decision-making (ADM) systems? High-profile retractions have taken place against a shift in public sentiment towards greater scepticism and mistrust of ‘black box’ technologies, evidenced in increasing awareness of the possible risks for citizens of the potentially invasive profiling.

A Home Office-funded project that used artificial intelligence to predict gun and knife crime was found to be wildly inaccurate. “Basing our arguments on inaccuracy is problematic because the tech deficiencies are solvable through time. Even if the algorithm was set to be 100 percent accurate, there would still be bias in this system.”