Downstream Deployer
An organization that uses or integrates an upstream provider's AI system for their own applications or services.
Definition
Downstream Deployer refers to organizations that use, integrate, or deploy AI systems or models obtained from upstream providers for their own applications, products, or services. They occupy a critical position in the AI value chain, translating general-purpose capabilities into specific use cases.
EU AI Act Context:
- Deployer definition (Article 3(4)): Natural or legal person using AI system under their authority
- High-risk deployer obligations (Article 26): Use according to instructions, ensure human oversight, monitor operation
- Integration responsibility: When integrating GPAI into high-risk systems, deployer may become provider
Downstream Deployer Obligations:
- Follow upstream provider's instructions for use
- Ensure intended use aligns with system's designed purpose
- Implement human oversight measures
- Monitor for incidents and report as required
- Conduct fundamental rights impact assessment (for certain high-risk uses)
- Inform individuals subject to AI decisions
When Deployer Becomes Provider:
- Substantial modification of high-risk system
- Changing intended purpose to high-risk application
- Placing system on market under own name
Related concepts: Upstream Provider, Deployer, Provider, AI Value Chain
Sources
- •EU AI Act Article 26
- •Supply Chain Standards
Related Terms
Deployer
A deployer is a natural or legal person, public authority, agency or other body that uses an AI system under its authority for professional/organisational purposes (excludes personal use)....
Provider
An entity (natural or legal person, public authority or body) that develops or commissions an AI system or general-purpose AI model and places it on the market or puts it into service under its name or trademark....