Professor Phoebe Moore
-
Email
p.moore@essex.ac.uk -
Telephone
+44 (0) 1206 874591
-
Location
EBS.3.5, Colchester Campus
Profile
Qualifications
-
PhD University of Nottingham,
-
MA International University of Japan,
Appointments
University of Essex
-
Professor of Management and the Futures of Work, School of Business, University of Essex (2/5/2022 - present)
Research and professional activities
Current research
Data on our minds: affective computing at work
Digital profiling using algorithms and datasets is becoming more and more pervasive in every aspect of life. Alongside our experiences as consumers, citizens and patients, the accumulation of data and technological monitoring is increasingly focusing on people’s behaviour and activities in the workplace. This is called 'affective computing'.
The introduction of Algorithmic Affect Management (AAM) technologies - designed to take these inferences about our emotions and behaviours at work and connect them to algorithmic management systems - is opening a new frontier in surveillance and privacy concerns. This has significant regulatory implications across domains, from definitions to the need for specific, updated protection in both hard and soft law.
Our latest report examines how these technologies - while offering potential productivity gains and occupational health and safety benefits - also introduce significant challenges to job quality and wellbeing. Invasive surveillance practices often undermine the promised benefits, highlighting the need for conscious management to ensure ethical and responsible implementation.
More information about this project
Conferences and presentations
Shaping Tomorrow: The Power of Social Science in Navigating the Digital Age
Invited presentation, UNIVERSITY OF ESSEX, 2/12/2024
Clustering: Automated Order in the Social Sciences
Invited presentation, https://www.ifk.ac.at/kalender-detail/clustering-automated-order-in-the-social-sciences.html, nternationales Forschungszentrum Kulturwissenschaften Kunstuniversität Linz in Wien, 28/11/2024
Technology Assessment from an Employee Representation Perspective
Keynote presentation, Schaffarei Conference 2024, CHAMBER OF LABOUR, Austria, 21/11/2024
The Future of Work
Keynote presentation, Tendencias https://elpais.com/proyecto-tendencias/2024-11-26/evento-tendencias-phoebe-v-moore-no-se-han-cuidado-las-repercusiones-del-avance-de-las-big-tech.html, El Pais, MADRID, Spain, 11/11/2024
Teaching and supervision
Current supervision
Publications
Journal articles (12)
Ernst, E., Berg, J. and Moore, PV., (2024). Editorial: Artificial intelligence and the future of work: humans in control. Frontiers in Artificial Intelligence. 7, 1378893-
Cefaliello, A., Moore, PV. and Donoghue, R., (2023). Making algorithmic management safe and healthy for workers: addressing psychosocial risks in new legal provisions. European Labour Law Journal. 14 (2), 192-210
Moore, PV., (2023). Workers’ right to the subject: The social relations of data production. Convergence. 30 (3), 1076-1098
Moore, PV. and Joyce, S., (2020). Black box or hidden abode? The expansion and exposure of platform work managerialism. Review of International Political Economy. 27 (4), 926-948
Engster, F. and Moore, PV., (2020). The search for (artificial) intelligence, in capitalism. Capital & Class. 44 (2), 201-218
Moore, PV., (2020). The mirror for (artificial) intelligence in capitalism. Capital & Class. 44 (2), 191-200
Moore, PV., Briken, K. and Engster, F., (2020). Machines and measure. Capital & Class. 44 (2), 139-144
Moore, PV., (2019). The Mirror for (Artificial) Intelligence: In Whose Reflection?
Moore, PV., (2018). Tracking Affective Labour for Agility in the Quantified Workplace. Body & Society. 24 (3), 39-67
Moore, P. and Robinson, A., (2016). The quantified self: What counts in the neoliberal workplace. New Media & Society. 18 (11), 2774-2792
Moore, P., (2006). Global Knowledge Capitalism, Self-woven Safety Nets, and the Crisis of Employability. Global Society. 20 (4), 453-473
Moore, P., (2005). Revolutions from above: Worker training as trasformismo in South Korea. Capital & Class. 29 (2), 39-72
Books (2)
(2023). Handbook of Research on the Global Political Economy of Work. Edward Elgar Publishing. 9781839106576
Moore, PV. and Woodcock, J., (2021). Augmented exploitation: Artificial intelligence, automation and work. Pluto Press (UK). 074534349X. 9780745343495
Book chapters (8)
Moore, P., Affective computing, algorithmic affect management, and the quantified worker. In: Moore, P. V. & Barnard, G. (2025, in press), in (eds.) Bulut, E., Chen, E., Grohmann, R. and Jarret, K. SAGE Handbook of Digital Labour Chapter 16.. Editors: JARRET, K.,
Donoghue, R., Huanxin, L., Moore, P. and Ernst, E., (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. 353- 365. 9781803922164
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. 323- 339
Atzeni, M., Azzellini, D., Mezzadri, A., Apitzsch, U. and Moore, PV., (2023). Introduction: What is work and what is the political economy of work?. In: Handbook of Research on the Global Political Economy of Work. 1- 32
Moore, PV., (2022). Designing work for agility and affect's measure. In: Marx and the Robots: Networked Production, AI and Human Labour. 185- 196
Moore, PV. and Woodcock, J., (2021). Introduction AI: Making it, faking it, breaking it. In: Augmented Exploitation: Artificial Intelligence, Automation and Work. 1- 9
Moore, PV., (2021). AI trainers: Who is the smart worker today?. In: Augmented Exploitation: Artificial Intelligence, Automation and Work. 13- 29
Moore, P., Piwek, L. and Roper, I., (2018). The Quantified Workplace: A Study in Self-Tracking, Agility and Change Management. In: Self-Tracking Empirical and Philosophical Investigations. Editors: Ajana, B., . Springer International Publishing. 93- 110. 9783319653785
Conferences (1)
Moore, PV., (2019). OSH and the Future of Work: Benefits and Risks of Artificial Intelligence Tools in Workplaces
Reports and Papers (1)
Moore, PV., Barnard, G., Thomas, A., Milne, G. and Minney, J., (2024). Data on our minds: affective computing at work
Grants and funding
2023
Study exploring the context, challenges, opportunities, and trends in algorithmic management in the workplace
Visionary Analytics
2022
Promoting Commons Presents and Futures
University of Essex (ESRC IAA)
Overview of policies, research and practices in relation to advanced robotics and AI based systems for automation of tasks and occupational safety and health
Federal Institute for Occupational Safety and Health
