Red Teaming and the Operationalising of Responsibility This spring, I’ll be embarking on fieldwork investigating the outsourced labours and operational logics associated with red teaming. Currently in vogue and linked...
Responsible AI takes practice: Cross-sector insights into how we shape responsible use of AI methodologies Every organisation seems to be staking a claim to responsible AI, issuing new statements of...
Empathic AI companions: moving fast and breaking people? This talk examines the ethical challenges and societal implications of empathic AI companions, drawing on UK public attitudes and civil lawsuits against...
Do ‘Words Matter’ in Machine Learning? Book your online ticket now! This presentation will reflect on the distinctions between what is needed to produce equitable, anti-racist information on artworks...
Ethical review to support Responsible Artificial Intelligence (AI) in policing: A preliminary study of West Midlands Police’s specialist data ethics review committee Book your hybrid ticket now! The deployment...
Responsible AI means Decomputing In this talk Dan McQuillan will argue that having a responsible approach to AI means decomputing. To start with, decomputing means less computing; in particular, less...
Determining responsibility considerations for AI ecosystems in the context of the creative industries This talk provides key insights from our scoping BRAID project ‘Creating a dynamic archive of Responsible AI...
Millions of workers, particularly in global south regions, are engaged in creating large-scale annotated datasets used for training and fine-tuning models, as well as making AI work as intended by...
