Responsible AI

Questions decision-makers should ask.

Current answers about authority, evidence, data handling, correction, and appropriate reliance. These are operating boundaries, not a certification or substitute for review in a specific jurisdiction.

Who makes consequential decisions?

A named human or accountable organization must make consequential decisions. AI may support research, translation, triage, or analysis, but it should not replace the authority, judgment, or review required by the setting. Roles and escalation paths should be defined before deployment.

Sources

• NIST AI RMF Core: Govern and Map (opens in a new tab)

What evidence is available, and what remains unmeasured?

Published work should distinguish observed evidence from intended benefits. RealWorldAI.ai's editorial standard is to identify implementation stage, limitations, human-control boundaries, and results that are not measured or not publicly reported rather than infer an outcome.

Sources

• GAO AI Accountability Framework (opens in a new tab)
• NIST AI RMF Core: Measure and Manage (opens in a new tab)

What information should not be shared with the Assistant?

Do not enter confidential, security-sensitive, legally privileged, procurement-restricted, controlled, or personally identifying information. The Assistant opens a third-party ChatGPT experience operated by OpenAI, so its terms and privacy practices apply after you leave this site.

Sources

• OpenAI Terms of Use (opens in a new tab)
• OpenAI Privacy Policy (opens in a new tab)

How can I request a correction or contact a human?

Use the RealWorldAI.ai contact page. A first-party intake endpoint is not configured, so the page clearly routes inquiries to the verified Good Samaritan Institute contact page instead of claiming that a local form or recipient exists.

Sources

• RealWorldAI.ai contact route

Does publication here certify that a system is compliant or risk-free?

No. Case studies and ecosystem overviews are informational records, not certifications, procurement approvals, legal advice, or guarantees. Decision-makers should perform the legal, security, accessibility, records, and operational reviews required for their own setting.

Sources

• NIST AI Risk Management Framework (opens in a new tab)

Sources reviewed July 16, 2026. NIST identifies AI RMF 1.0 as under revision; these answers use the framework as risk-management guidance and do not claim compliance.