Comply · International standards

IEEE 7000-series — ethics, transparency & privacy

Standards for ethics, transparency, and privacy by design.

Who it applies to

Engineering and product teams that want to build ethics, transparency, and privacy into AI by design.

Key obligations

• Apply value-based design processes (IEEE 7000)
• Address transparency of autonomous systems (7001)
• Engineer data-privacy protections (7002)
• Consider and mitigate algorithmic bias (7003)

How Maetra maps agents to IEEE 7000

Maetra evidences transparency, privacy, and bias-mitigation controls per agent and records the design and oversight decisions behind them. (Licensed standard — activated on demand.)

In practice, Maetra:

• Scans and fingerprints each agent. Discover reads the agent’s code — its tools, data access and sensitivity, actions, model, and environment — into an evidence-backed profile tied to the exact file and commit.
• Decides what applies. That profile determines whether IEEE 7000 is in scope for the agent and which of its requirements apply.
• Auto-detects controls and surfaces gaps. Controls your code already satisfies are detected automatically from the scan; the rest become a clear list of gaps, each tied to the requirement and the evidence it still needs.
• Proves it and keeps it current. Close gaps with linked evidence or generated documents — reused across every framework the same control supports — and Maetra re-checks on each rescan and flags evidence that has gone stale.

Related frameworks

Prove IEEE 7000 compliance with Maetra

Classify your AI agents once and Maetra maps them to IEEE 7000 and every other framework it supports — generating the evidence and documentation, tracking gaps and deadlines, and sealing every decision in an immutable audit trail.