
Drawing on the five OECD principles for responsible stewardship of trustworthy AI, this project proposes developing a set of accountability mechanisms to ensure AI systems foster fairer working conditions.
Callum Cant is a postdoctoral researcher on the Global Partnership for AI’s ‘Fair Work for AI’ project focusing on regulatory frameworks for AI in the workplace.
His first book, Riding for Deliveroo, is an investigation of class conflict in platform capitalism. He completed his PhD, titled ‘“We are a service class”: a workers’ inquiry into the class composition of service commodity production during the unreal interregnum’, at the University of West London in 2020.
After completing his PhD, Callum worked as head of communications at Momentum before returning to research. He lives in London, and in his spare time he goes on long runs.
Artificial intelligence, platform capitalism, algorithmic management, workers’ inquiry, class composition, trade unions, industrial relations
Drawing on the five OECD principles for responsible stewardship of trustworthy AI, this project proposes developing a set of accountability mechanisms to ensure AI systems foster fairer working conditions.
With Dr Callum Cant, Professor Helmut Krcmar, Prof. Dr. Tim Büthe, Prof. Dr. Jan Marco Leimeister, Julian Posada, Dr Charlotte Unruh, and Sana Ahmad
The second in our series of joint webinars on AI & work looks at the concentration of the hidden labour of AI in the Global South From cloudwork to mining.
8 June 2022
New Oxford report reveals best and worst practices in UK gig economy.
The Guardian, 11 August 2023
Work and pensions secretary said working for Deliveroo could be good option for older people, despite low pay and job insecurity
The Guardian, 03 August 2023
Work and pensions secretary said working for Deliveroo could be good option for older people, despite low pay and job insecurity
Tagesspiegel, 16 March 2023
In den letzten Wochen hat die Sprach-KI ChatGPT an Popularität gewonnen und gleichzeitig Fragen aufgeworfen: Wie prekär sind die Arbeitsbedingungen derjenigen, die an der Entwicklung von KI-Systemen vor allem im globalen Süden arbeiten?