This page is legacy. For the updated service page, see Responsible AI & Governance.
The risks (plain language)
Informational only (not legal advice). For regulated environments, confirm requirements with counsel/compliance.
- Hallucinations: AI can produce believable but incorrect answers
- Data leakage: sensitive info can be pasted into unapproved tools
- Prompt injection: malicious text can trick a system into ignoring rules
- Compliance issues: retention, PII/PHI, contractual constraints
- Over-automation: trusting outputs without verification
What AI Evolution puts in place
- Tool + data rules: what's approved, what's prohibited
- Workflow guardrails: checklists, required citations, human review steps
- Testing: evaluate outputs against real edge cases
- Training: teach teams safe usage patterns
- Documentation: simple governance artifacts you can keep and defend
Where this fits in your AI rollout
Governance doesn't have to slow you down. Done right, it reduces rework, prevents incidents, and makes adoption easier.
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