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Moore, Phoebe and Barnard, Gwendolin (2025) Affective computing, algorithmic affect management, and the quantified worker. In: The SAGE Handbook of Digital Labour. Sage. ISBN 9781529669831. Official URL: https://uk.sagepub.com/en-gb/eur/the-sage-handbook...

Moore, Phoebe and Petrucci, Carlo and Muldoon, James (2025) AI regulation in the EU and the world of work: critiquing inevitability, for resistance. Global Political Economy, 20 (2). pp. 201-214. DOI https://doi.org/10.1332/26352257Y2025D000000036

Moore, Phoebe V and Barnard, Gwendolin and Thomas, Anna and Milne, Gemma and Minney, Jerome (2024) Data on our minds: affective computing at work. Project Report. Institute for the Future of Work.

Donoghue, Robert and Huanxin, Luo and Moore, Phoebe and Ernst, Ekkehard (2024) AI, regulation, and the world of work: the competing approaches of the US and China. In: Handbook on Public Policy and Artificial Intelligence. Edward Elgar Publishing, pp. 353-365. ISBN 9781803922164. Official URL: https://doi.org/10.4337/9781803922171.00035

Ernst, Ekkehard and Berg, Janine and Moore, Phoebe V (2024) Editorial: Artificial intelligence and the future of work: humans in control. Frontiers in artificial intelligence, 7. p. 1378893. DOI https://doi.org/10.3389/frai.2024.1378893

Moore, Phoebe V (2023) Workers’ right to the subject: The social relations of data production. Convergence, 30 (3). pp. 1076-1098. DOI https://doi.org/10.1177/13548565231199971

Moore, PV (2023) Problems in protections for working data subjects: Becoming strangers to ourselves. In: Handbook of Research on the Global Political Economy of Work. Edward Elgar, Cheltenham, pp. 323-339. ISBN 9781839106576. Official URL: https://www.elgaronline.com/edcollchap/book/978183...

Cefaliello, Aude and Moore, Phoebe V and Donoghue, Robert (2023) Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal, 14 (2). pp. 192-210. DOI https://doi.org/10.1177/20319525231167476

Moore, Phoebe and Piwek, Lukasz and Roper, Ian (2018) The Quantified Workplace: A Study in Self-Tracking, Agility and Change Management. In: Self-Tracking Empirical and Philosophical Investigations. Springer International Publishing, pp. 93-110. ISBN 9783319653785. Official URL: https://doi.org/10.1007/978-3-319-65379-2_7