By Mark Graham and Fabian Ferrari
Understanding the embedded and disembedded, material and immaterial, territorialized and deterritorialized natures of digital work.
This project seeks to apply the principles of AI for Fair Work, by using these as a benchmark for empirical on workers’ experiences of the implementation of AI systems in the workplace.
This project seeks to review the Indian government’s policies relating to AI and Work, to improve understanding of how they are/can be (re)configured to account for and address the informality that characterises Indian urban labour markets.
This project seeks to understand the gendered experiences of UK gig workers, to explore common safety risks associated with e-hailing and delivery work, along with examining risk-mitigation tactics employed by workers in response to platform design.
Cedefop’s CrowdLearn study is the first to examine skills development and skill matching practices in online platform work. It presents evidence from interviews with platform economy stakeholders, as well as crowdworkers themselves.
18 September 2023
In a new study, Oxford experts say that while Generative AI has increased the scope of automation further, it will also make many jobs easier to do for people with lower skills.
13 September 2023
In this new video, Dr Fabian Stephany, OII explores the future of work and AI. He explains to us why the demand for certain occupations is skyrocketing not despite - but because of - AI.
20 July 2023
Fairwork scores 15 web-based digital platforms against basic principles of fair work. No companies meet minimum standards for fair working practices.
17 May 2023
AI technologies are demonstrating their increasingly powerful capabilities, sparking fears of mass unemployment. But we are well-advised to remember that today’s AI-ruled workplaces are craving for human labour.
Frankfurter Allgemeine, 22 September 2023
Two famous researchers from the University of Oxford update their labour market forecast.
Wired, 25 September 2023
Corporations are using software to monitor employees on a large scale. Some experts fear the data these tools collect could be used to automate people out of their jobs.
People Management, 20 September 2023
Oxford professors who published a seminal 2013 paper warning of widespread occupational displacement now say the impacts will instead be strike action and wage depression.
