Worker Info Exchange
AI governing laborWorker powernon-profit organisationactive
Worker Info Exchange: a non-profit organisation: data access requests, data investigations, data trusts and strategic litigation for gig workers. Operator: Worker Info Exchange, a non-profit in London (Director James Farrar; Research Lead Cansu Safak, as the foundation's post of 29 April 2026 names them); the Uber collective action is brought by Stichting WIE International, a Dutch foundation working in cooperation with Worker Info Exchange, and the foundation's post describes WIE as coordinating it. Its unit: a subject access or data portability request made on behalf of a worker; also a targeted data investigation or report. Whose labor: the work of gig economy workers managed by algorithms (Uber drivers in the UK and Europe named in its news; its reports include a Just Eat Report and a McMisery Report).
Worker Info Exchange is a non-profit helping workers reclaim control over the data collected from them at work. We help workers turn data into power — challenging unfair algorithmic systems and holding tech platforms to account.
In its own words: https://www.workerinfoexchange.org/, read 2026-10-29
Who supplies, who directs, who gains
Supplies the laborgig economy workers, as the sources say, Uber drivers among them
Directs ittech platforms through opaque automated management systems (hidden algorithms) that allocate work, determine pay and assess performance
Receives the gains, bears the costsit names algorithmic wage cuts and damages drivers have suffered from Uber's dynamic pay system; the foundation states Uber's commission was set at 25% before dynamic pay, and that under dynamic pay Uber takes nearly half of the fare in some cases and keeps more than half of the fare in many cases; the Oxford and Worker Info Exchange analysis found drivers' real pay declined while Uber's profit margins rose sharply
Each as the resource itself records it. Where it records nothing, the census says so.
What it records
| Intersections | AI governing labor: hiring, surveillance, scheduling, quotas, evaluation and discipline; Worker power: bargaining, organizing, consent, refusal, contestation and enforceable protections; Distribution of gains and losses: wages, employment, workload, credit, ownership, and who captures productivity gains |
| Kind of evidence | data accessorganizing resource |
| Unit of record | a subject access or data portability request made on behalf of a worker; also a targeted data investigation or report op |
| Whose labor | the work of gig economy workers managed by algorithms (Uber drivers in the UK and Europe named in its news; its reports include a Just Eat Report and a McMisery Report) |
| Method | subject access and data portability requests under data protection law, targeted data investigations and analyses, strategic litigation, and aggregation of workers' data through data trusts op |
| Coverage | geography: London-based; UK and Europe; the Uber action focuses on drivers from the Netherlands, Belgium, France, Germany, Poland, Romania and the United Kingdom; period: founded 2020; news items from March 2025 onward on the saved home page (earlier pages not read); the Oxford and WIE analysis covers Uber trips from 2016 to 2024 |
| What it finds | joint analysis by Oxford University and WIE of 1.5 million Uber trips between 2016 and 2024 found that after the introduction of dynamic pricing in 2023 drivers' real pay declined, volatility increased, and Uber's profit margins rose sharply; the foundation states Uber's commission was 25% before dynamic pay and nearly half of the fare in some cases after it; two drivers performing identical trips can be paid vastly different amounts, with Uber keeping more than half of the fare in many cases; news titles report falling pay and soaring commission fees for Liverpool Uber drivers as AI-controlled dynamic pay takes hold |
| Its stated limits | none stated in the saved sources |
op the resource's own statement · 3p a third-party account · obs our observation · rd our reading. Hover a tag for its quote; each opens below with its source.
What this evidence can settle
Can answer
- what data a platform holds and uses about an individual worker, as returned to a request
- how a platform's algorithm allocated work, set pay and assessed performance for the workers whose data was obtained
Cannot answer
- platform-wide pay or dismissal rates beyond the workers whose data is aggregated
- the outcome of the Uber collective action (pending in the saved sources)
In the worked questions
Where it meets Labor Vector
rd none stated. The archive reads WIE's data access as recovering, from the worker's side, the record of how an algorithm directed the work (allocation, pay, performance), the directionality question asked of the system that directs labor.
Entity
| Canonical name | Worker Info Exchange |
| Also known as | WIE, Stichting WIE International |
| Address | https://www.workerinfoexchange.org/ |
| Operator | Worker Info Exchange, a non-profit in London (Director James Farrar; Research Lead Cansu Safak, as the foundation's post of 29 April 2026 names them); the Uber collective action is brought by Stichting WIE International, a Dutch foundation working in cooperation with Worker Info Exchange, and the foundation's post describes WIE as coordinating it |
| Founded | 2020 op |
| Kind | non-profit organisation: data access requests, data investigations, data trusts and strategic litigation for gig workers |
| Lifecycle | active — founded 2020; a collective action against Uber over dynamic pay launched by Stichting WIE International under the Dutch WAMCA collective procedure, in the Dutch courts, for drivers from seven countries who drove for Uber after November 2020, coordinated by WIE through its Dynamic Pay campaign (the foundation's post of 29 April 2026); latest news item on the home page dated Jul 23 (year not shown, listed above a 20 November 2025 item) |
| Count | not stated in the saved sources (as of 2026-10-29) |
| Data access | requests made on behalf of workers (the Request Data page); the data returned belongs to the workers and is not published as a dataset in the saved sources |
| Licence | not stated in the saved sources |
| Versions and dates | site copyright: 2025; news latest dated: 2025-11-20 (a later item dated Jul 23 carries no year); foundation post: 2026-04-29; foundation site copyright: 2026; read: 2026-10-29 |
| Observation | 2026-10-29: read |
Relations
Captures: the composition layer's account
The /non row
Evidenceevery field's quote, its source and the hash of the saved copy27
- self description op
Worker Info Exchange is a non-profit helping workers reclaim control over the data collected from them at work. We help workers turn data into power — challenging unfair algorithmic systems and holding tech platforms to account.
- operator london op
Worker Info Exchange | Data Rights for Digital Workers | London
- uber action op
Stichting WIE International has launched a new collective action against Uber over its unfair dynamic pay system to stop algorithmic wage cuts and secure compensation for the damages drivers have suffered.
- unit op
We facilitate data access by making specific subject access and data portability requests on behalf of workers. Our goal is to create transparency over their working conditions by interrogating how their work is allocated, how their pay is determined and how their performance is assessed.
- investigations op
We carry out targeted investigations and data analyses to expose unfair algorithmic decision making. These investigations support the strategic litigation work through which we help workers contest illegal automated dismissals and management decisions.
- data trusts op
We support trade unions and grassroots worker organisations to aggregate their data with other workers through the development of data trusts.
- directs op
Digital rights are increasingly important in the fight for worker rights for gig workers who are managed and controlled at work by hidden algorithms. Opaque automated management systems foster exploitation and discrimination. They facilitate illegal workplace practices including unfair work allocation, performance management and dismissals.
- method op
Our solution is to help workers assert their digital rights under the law so that they may take control of their data, have full transparency of how they have been subject to algorithmic management and to challenge illegal or unfair automated management decisions.
- news pay op
Liverpool Uber drivers hit by falling pay and soaring commission fees as AI controlled "dynamic pay" takes hold Worker Info Exchange Jul 23
- news sue op
Drivers in UK and Europe set to sue Uber for unfair pay set by algorithm Worker Info Exchange Nov 20, 2025
- news research op
New Research Exposes Deepening Exploitation of Uber Drivers by Algorithmic Pay Worker Info Exchange Jun 19, 2025
- reports op
Managed by Bots Report Just Eat Report McMisery Report Dying for Data Report
- founded op
Worker Info Exchange (WIE) is an independent non‑profit organisation that helps platform workers turn their data into power. Founded in 2020, WIE works with drivers, couriers and trade‑union partners to:
- director op
James Farrar, Director of WIE, comments:
- research lead op
Cansu Safak, Research Lead at WIE, comments:
- post date op
April 29, 2026
- coordinates action op
WIE, through its Dynamic Pay campaign , is currently coordinating a collective legal action against Uber in the Dutch courts, arguing that the company’s dynamic pricing systems breach drivers’ data protection and transparency rights under EU law.
- oxford analysis op
Joint analysis by Oxford University and WIE , covering 1.5 million Uber trips between 2016 and 2024, found that after the introduction of dynamic pricing in 2023, drivers’ real pay declined, volatility increased, and Uber’s profit margins rose sharply.
- more than half op
Under the system, two drivers performing identical trips can be paid vastly different amounts, with Uber keeping more than half of the fare in many cases.
- foundation op
Stichting WIE International, a Dutch foundation working in cooperation with Worker Info Exchange, empowers gig workers to fight back with their data against platform service providers.
- commission op
Before the introduction of Dynamic Pay, driver earnings were calculated transparently, based on fixed per-minute and per-kilometer/mile rates, with Uber’s commission set at 25%.
- nearly half op
Behind the promise of “fairer” pricing, this system quietly shifted risk onto drivers while enabling Uber to increase its hidden commission — in some cases taking nearly half of the fare.
- research 15m op
Research by Oxford University and Worker Info Exchange, based on 1.5 million trips, shows falling driver pay, increased unpaid waiting time, and growing inequality, with most drivers earning less while Uber profits more.
- wamca op
Stichting WIE International has launched the Dynamic Pay Claim under Dutch WAMCA law to challenge this system, expose its impact, and seek remedies for affected drivers.
- seven countries op
At the moment, Stichting WIE International is focusing on drivers from the Netherlands, Belgium, France, Germany, Poland, Romania and the United Kingdom who have driven for Uber at any time after November 2020.
- foundation copyright op
© Stichting WIE International 2026
- copyright op
© 2025 Worker Info Exchange
Negative tagswhat it is not3
- NOT a union: it supports trade unions and grassroots worker organisations
- NOT a public dataset of platform data
- NOT the platforms' own transparency reporting
Sourcesevery source read, with its date and hash4
Not yet checkedwhat remains to read4
- the research reports (Managed by Bots, Just Eat, McMisery, Dying for Data, Workers' Recommendations on EU Directive)
- the Board, Team, Funding and Manifesto pages
- the news and blog posts themselves
- the Request Data page
Cite this record
Lee Sharks, ed. "Worker Info Exchange." Labor Vector meta-aggregator, laborvector.org, compiled 2026-10-29. https://www.laborvector.org/aggregators/worker-info-exchange
Record https://www.laborvector.org/aggregators/worker-info-exchange · entity https://www.laborvector.org/aggregators/worker-info-exchange#entity · the census as data
@misc{lv-workerinfoexchange2026,
editor = {Sharks, Lee},
title = {Worker Info Exchange},
howpublished = {Labor Vector meta-aggregator, laborvector.org},
year = {2026},
note = {Compiled 2026-10-29; every field sourced and dated},
url = {https://www.laborvector.org/aggregators/worker-info-exchange}
}