Greetings, from an absolutely freezing London (in London terms at least).
Its a relatively quiet week on the AI and human rights front, with no huge stand out stories. There is quite a bit in today’s newsletter of disinformation, deep fakes, and so on, as well as another – very familiar – story about algorithmic tools discriminating against black renters. And a truly shocking revelation that low paid workers provided the manual labour underpinning some of ChatGPT’s functionality.
There is also this story, from a few weeks back, about AI providing real time legal advice to a defendant in court. I can’t remember if we covered it in a previous week? Just though I would reflag it anyways.
As always, thanks to Sarah Zarmsky, and if you have any suggestions for stories, or issues to cover, please do get in touch.
‘Is It Human or AI? New Tools Help You Spot the Bots’, Wall Street Journal
‘Alarmed by A.I. Chatbots, Universities Start Revamping How They Teach’, The New York Times
‘7 ways Google is using AI to help solve society’s challenges’, The Keyword by Google
‘AI to monitor changes to globally important glacier’, University of Leeds
‘How ChatGPT Hijacks Democracy’, The New York Times
‘As Deepfakes Flourish, Countries Struggle With Response’, The New York Times
‘Art and artificial intelligence collide in landmark legal dispute’, Financial Times
‘Soldiers outsmart military robot by acting like video game characters’, The Washington Post
‘A news site used AI to write articles. It was a journalistic disaster.’, The Washington Post
‘How AI is combatting burnout’, Financial Times
‘AI may finally cure us of our data fetish’, The Register
*Disclaimer: The selected articles and chapters were not evaluated for their research methods and do not necessarily reflect the views of the AI & Human Rights Blog
‘The AI writing on the wall’, Nature Machine Intelligence
‘Explainable AI Tools for Legal Reasoning about Cases: A Study on The European Court of Human Rights’, Joe Collenette, Katie Atkinson, and Trevor Bench-Capon, Artificial Intelligence
‘Bias and Non-Diversity of Big Data in Artificial Intelligence: Focus on Retinal Diseases’, Jacoba et al., Seminars in Opthalmology
‘A cautionary tale about the adoption of medical AI in Sweden’, Emilia Niemiec, Nature Machine Intelligence
‘The Impact and Limitations of Artificial Intelligence in Cybersecurity: A Literature Review’, Meraj Farheen Ansari, Bibhu Dash, Pawankumar Sharma, and Nikhitha Yathiraju, International Journal of Advanced Research in Computer and Communication Engineering