Delivery, mobility and gig platforms

Delivery, ride-hailing and on-demand platforms use algorithms to assign tasks, set pay, rate and deactivate workers. That is why they have specific algorithmic management laws in Mexico, Chile, Colombia and the EU, requiring transparency, human oversight and appeal channels.

Relevant sector rules

EU: Platform Work Directive 2024/2831 must be transposed by Dec 2, 2026 and requires transparency on automated systems, human oversight, review of decisions and a ban on processing emotional data. Spain: the Rider Law added Article 64.4.d to the Workers' Statute and Royal Decree 723/2026 requires individual written notice from Oct 5, 2026. Mexico: Chapter IX Bis of the Federal Labor Law (in force since mid-2025) requires a published algorithmic management policy communicated to workers. Chile: Law 21,431 (2022) requires informing platform workers about how algorithms work and bans algorithmic discrimination. Colombia: Law 2466/2025 requires periodic assessment of the impact of automated decisions on platform work. Peru: labor management is high-risk, with a Sep 10, 2027 deadline for labor and transport. US: Colorado and California's ADMT rules cover decisions about independent contractors from 2027.

Typical AI uses

Sector regulators

European Union: European Commission, employment and social affairs
Spain: Ministry of Labor and Social Economy and Labor and Social Security Inspectorate
Colombia: Ministry of Labor
Peru: National Labor Inspection Superintendency (SUNAFIL)
Mexico: Ministry of Labor and Social Welfare (STPS)
Chile: Labor Directorate
Brazil: Ministry of Labor and Employment
United States (federal): Equal Employment Opportunity Commission (EEOC)
California: California Civil Rights Department (CRD)

Related kits

Includes 5 documents

Platforms and Algorithmic Management Kit

Algorithmic management notice to workers, human oversight, review of decisions on shifts, tasks or pay, a decision log and DPIA.

USD 129USD 215

Complete kit · available to buy

Find out what applies to you (free)