Algorithmic management transparency

Description

Algorithmic management transparency is the worker-side counterpart to consumer algorithmic-transparency rules: when an automated system assigns shifts, ranks workers, evaluates performance, sets pay multipliers, or determines task allocation, the workers subject to it have the right to know that the system is in use and what its main parameters are. The EU Platform Work Directive is the most developed expression of this; California, New York City, and several other jurisdictions have layered comparable rules on top of existing labor codes. A working transparency disclosure covers what decisions the system makes (assignment, evaluation, compensation, deactivation), the categories of input data the system uses, the main parameters that drive outputs, the consequences for the worker if the system flags them adversely, and the human-review route the worker can invoke. Worth noting: the disclosure is owed to the worker, not to a regulator, and the worker's ability to contest a decision flows from how meaningful the disclosure was. Vague summaries that satisfy the letter of the rule typically do not satisfy the underlying obligation, and the recent enforcement signals from European labor inspectorates have been pushing toward concrete examples rather than abstract parameter lists.

Applicability

Applies when: business participants include individual-workers.

How predicates are evaluated

Required by (2 regulations)

• EU AI Act

  Article 6 + Annex III — high-risk AI for employment.

  Regulation (EU) 2024/1689 of the European Parliament and of the Council

• EU PWD

  Directive (EU) 2024/2831 Articles 7-9 — algorithmic management transparency to platform workers regardless of classification.

  Directive (EU) 2024/2831 Articles 7-9

Fulfilled by (3)

• In-house build · medium effort
• holistic-ai · partial · high effort · $$$
  AI audit + bias testing aligned to NYC LL 144 / EU AI Act employment use cases.
• babl-ai · partial · high effort · $$$
  Independent AI audit firm; NYC LL 144 bias audits + EU AI Act conformity.

ClearLaunch does not accept payment from vendors. Methodology.

Evidence formats

• algorithmic-management disclosure
• parameter documentation