The policy prohibits using Cohere's AI to make final, automated decisions with major consequences for people (such as in legal, financial, or employment contexts) without a human reviewing the outcome.
This analysis describes what Cohere's agreement states, permits, or reserves. It does not constitute a legal determination about enforceability. Regulatory applicability and practical outcomes may vary by jurisdiction, enforcement context, and individual circumstances. Read our methodology
This provision directly engages with regulatory requirements for human oversight in automated decision-making, including those established under the GDPR Article 22 and the EU AI Act for high-risk AI systems, and reflects a substantive operational constraint for enterprises deploying AI in consequential domains.
Interpretive note: The term 'appropriate human oversight' is not defined in the document, and what constitutes sufficient review may vary by regulatory framework, industry context, and jurisdiction.
Users and operators cannot use Cohere's services to make fully automated consequential decisions affecting individuals in legal, financial, medical, or employment contexts without incorporating human review, which is a material operational constraint for enterprise AI deployments.
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"Do not use Cohere's services to make fully automated decisions that have legal or similarly significant effects on individuals without appropriate human oversight.— Excerpt from Cohere's Cohere Responsible Use Policy
REGULATORY LANDSCAPE: This provision engages GDPR Article 22, which grants individuals the right not to be subject to solely automated decisions with significant effects and requires human review mechanisms. The EU AI Act classifies AI systems used in employment, education, credit scoring, and essential services as high-risk, imposing specific obligations on providers and deployers. US sector-specific regulations in consumer lending (ECOA, FCRA) also impose adverse action notice and human review requirements for automated credit decisions. GOVERNANCE EXPOSURE: High for enterprises using AI in HR, lending, insurance underwriting, healthcare triage, or legal compliance contexts. The provision does not define 'appropriate human oversight,' leaving operators to determine what review processes satisfy this requirement. JURISDICTION FLAGS: EU operators face mandatory compliance with GDPR Article 22 and EU AI Act obligations regardless of AUP terms. US operators in consumer lending face ECOA and FCRA requirements. Illinois, California, and New York have enacted or proposed automated decision-making regulations that may impose additional obligations. CONTRACT AND VENDOR IMPLICATIONS: Enterprises deploying Cohere AI in consequential decision-making workflows should document human review processes, assess whether their oversight mechanisms satisfy applicable regulatory standards, and ensure vendor agreements address the allocation of responsibility for regulatory compliance in automated decision-making systems. COMPLIANCE CONSIDERATIONS: Legal teams should map all use cases involving consequential automated decisions against applicable regulatory frameworks, assess what 'appropriate human oversight' means in each regulatory context, and implement audit trails documenting human review steps in high-stakes decision pipelines.
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This provision directly engages with regulatory requirements for human oversight in automated decision-making, including those established under the GDPR Article 22 and the EU AI Act for high-risk AI systems, and reflects a substantive operational constraint for enterprises deploying AI in consequential domains.
Users and operators cannot use Cohere's services to make fully automated consequential decisions affecting individuals in legal, financial, medical, or employment contexts without incorporating human review, which is a material operational constraint for enterprise AI deployments.
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