Professor at the Oxford Internet Institute
Director of @towardsfairwork.bsky.social
Publications: www.markgraham.space
Studies: Digital Economies, Digital Geographies, Economic Geography, Gig Economy, Data Work, AI Production Networks, Cities ..
more
Professor at the Oxford Internet Institute
Director of @towardsfairwork.bsky.social
Publications: www.markgraham.space
Studies: Digital Economies, Digital Geographies, Economic Geography, Gig Economy, Data Work, AI Production Networks, Cities
Reposted by Jérôme Denis
Interview with me in Yahoo News: www.yahoo.com/news/article...
- 15 changes were implemented by Appen during the assessment period.
- The report also highlights areas for further progress, including pay, worker protections, and transparency.
Read the full report here: fair.work/en/fw/public...
fair.work/wp-content/u...
It looks at the people doing the invisible data work that keeps AI running for companies in sectors from driverless cars to online retail.
Read the scorecard and our report here:
🔗 fair.work/en/fw/public...
Reposted by Mark Graham
Reposted by Mark Graham, Prokla Redaktion
Read: www.elgaronline.com/edcollchap/b...
Reposted by Mark Graham
📅 29 Oct 📍Museum of Oxford 🔗 www.socsci.ox.ac.uk/unveiling-th... #ESRCFestival
festivalofsocialscience.com/events/unvei...
Reposted by Mark Graham
Join Prof Mark Graham @oii.ox.ac.uk for: “The hidden human labour powering AI: Introducing the Fairwork Action Research Project”
🗓16 October 4pm
📍In-person & online
Register now: talks.ox.ac.uk/talks/id/760...
@geoplace.bsky.social
Mark Graham (Oxford Internet Institute, Univ. of Oxford)
Uma Rani (International Labour Organization)
We welcome interdisciplinary work from all career stages.
#AAG2026 #AI #TechJustice #GlobalProductionNetworks #Labor #ClimateJustice #DigitalColonialism
• Abstract (≤250 words)
• Short bio (≤100 words)
• Deadline: Oct 14
• Send to mark.graham@oii.ox.ac.uk and amara@ilo.org
Subject line: AAG 2026 AI Production Networks Session
• Where are the critical nodes and chokepoints?
• How can transparency reveal hidden flows of minerals, capital, data, labor?
• Which policy levers reshape incentives?
• Where do labor & community struggles gain traction?
• How can design choices reduce harm?
We want papers that map these geographies of harm and identify leverage points for change.
Reposted by Fabián Muniesa, Michele Ford
AAG 2026 Annual Meeting
AI is not just “in the cloud.” It relies on global supply chains, with power concentrated in a few countries and corporations.
fair.work/en/fw/blog/c...
#AAG2026
This piece was made with brilliant designers John Philip Sage and Carlos Romo-Melgar.
We’ll be exhibiting it (and giving many away) at the ESRC Festival of Social Sciences in Oxford on 29 Oct.
Invisible Labour: Invisible labour, indispensable skill.
Data Assets: Extraction fuels machine learning.
Footprint: Digital demand, ecological debt.
Capital and Ownership: Cash walls. Closed doors.
Rules and Voids: Governance gaps widen risks.
Reposted by Mark Graham
globalnyt.dk/professor-ka...
@towardsfairwork.bsky.social now offers certification so buyers can demand higher standards across AI supply chains.
wp.oecd.ai/app/uploads/...
Find it here: www.frontiersin.org/journals/com...
"Reflection AI: Feeding the Machine – The Hidden Labour Behind AI Tools and Ethical Implications for Higher Education"
It confronts the human cost behind the AI systems now flooding education.
Reposted by Mark Graham
Reposted by Mark Graham