Senate inquiry into Australian consultancy industry concedes its integrity has been undermined by reliance on case studies generated by Google Bard AI tool

Hundreds of documents obtained by 404 Media show how Fusus, a system for linking a town’s security cameras into one central hub and adding AI to them, has spread across the country.

Tech CEOs want us to believe that generative AI will benefit humanity. They are kidding themselves

The widespread deployment of AI in U.S. healthcare will succeed only with the establishment of a national infrastructure for open health data.

Analysis: issues with some gadgets could contribute to poorer outcomes for women and people of colour

News, analysis and comment from the Financial Times, the worldʼs leading global business publication

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

The NYPD uses biometric technologies such as facial recognition to identify crime suspects, but dark-skinned people are misidentified 40% of the time. To imagine a future where we don't deploy facial recognition & policing, #ForFreedoms & @ai4theppl launched #HeartRecognition: pic.twitter.com/5dnmxZAFLv— For Freedoms (@forfreedoms) June 21, 2021

Workplace challenges posed by new technology could be answered by very traditional solutions. "Nevertheless, there is also substantial historical evidence that technological changes tend to affect lower-paid and lower-qualified workers more than others. This suggests there are likely to be unequal effects that cause disruption for some people or places more than others,"

A new paper from the MIT Media Lab’s Joy Buolamwini shows that three commercial facial-analysis programs demonstrate gender and skin-type biases, and suggests a new, more accurate method for evaluating the performance of such machine-learning systems.

A blog examining the legal implications of the use of AI in the workplace.

These are the four most popular misconceptions people have about race & gender bias in algorithms.I'm wary of wading into this conversation again, but it's important to acknowledge the research that refutes each point, despite it feeling counter-intuitive.Let me clarify.👇🏾 https://t.co/WdzmnGLaFm— Deb Raji (@rajiinio) March 27, 2021

Proctored exams have a bias toward students from racial minorities and other disadvantaged groups.

Britain must urgently regulate how companies use artificial intelligence (AI) at work, unions said on Thursday, warning of widespread discrimination if the technology is left unchecked.

What are data and technology? How do they impact Black lives in our health systems?

Companies pledged money and support for people of color. But some say they still face a hostile work environment for speaking out or simply doing their jobs.

Mobile applications aided by artificial intelligence may help migrants better address their physical and mental health.

Algorithms are meaningless without good data. The public can exploit that to demand change.

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.

Just when we thought it was safe to go back in the water, a new threat has emerged to equal employment opportunity as employers base hiring decisions on artificial intelligence powered video and game-based “pre-employment” assessments of job candidates.

Clearview AI's latest patent application reveals the firm's ongoing plans to use surveillance against vulnerable individuals. According to BuzzFeed News, a patent was filed in August which describes in detail how the applications of facial recognition can range from governmental to social — like dating and professional networking. Clearview AI's patent claims that people will be able to identify individuals who are unhoused and are drug users by simply accessing the company's face-matching system.

Computer vision technology has lower accuracy rates for black females

BAME couriers working for Uber Eats and Uber claim that the company’s flawed identification technology is costing them their livelihoods

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

Guide on how the UK’s borders, immigrations, and citizenship system tracks and spies on people, and which companies profit.

The use of artificial intelligence (AI) presents risks to equality, potentially embedding bias and discrimination. Auditing tools are often promised as a solution. However our new research, which examines tools for auditing AI used in recruitment, finds these tools are often inadequate in ensuring compliance with UK Equality Law, good governance and best practice. We argue in this report that a more comprehensive approach than technical auditing is needed to safeguard equality in the use of AI for hiring, which shapes access to work. Here, we present first steps which could be taken to achieve this. We also publish a prototype AI Equality Impact Assessment which we plan to develop and pilot.