Section 230
Section 230 of the Communications Decency Act (47 U.S.C. Section 230), which prevents a provider or user of an interactive computer service from being treated as the publisher or speaker of information provided by another information content provider, historically shielding online platforms from most lawsuits over user-posted content.
Defined in 2 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in The AI Lobbyist: Certified AI Policy Strategist.
How each discipline defines it
The same term does different work depending on who is using it. These are the definitions as each program teaches them, unedited.
Section 230 of the Communications Decency Act (47 U.S.C. Section 230), which prevents a provider or user of an interactive computer service from being treated as the publisher or speaker of information provided by another information content provider, historically shielding online platforms from most lawsuits over user-posted content.
The federal law that generally shields online platforms from liability for content posted by their users. The May 2025 Character.AI ruling held this shield did not clearly apply to the company's own chatbot outputs.
The federal statute generally shielding online platforms from liability for content posted by their users; its application to AI-generated or AI-curated content is an unsettled legal question this program tracks but does not resolve.
Shorthand for 47 U.S.C. Section 230, the federal statute that shields online platforms from liability for third-party content; courts have increasingly held that it does not extend to a platform's own AI-generated output, treating that output as the company's own speech or product.
Where it is taught
The exact lessons this term appears in. The first module of every program is free with a free account.
- Age Gates, Young Learners, and Student Safety · Bonus: AI for Educators, Certified AI Practitioner: Workplace Foundations
- Translating Corporate AI Risk into Policy Talking Points · Business and Industry Representation, The AI Lobbyist: Certified AI Policy Strategist
- AI Liability: Product Liability, Section 230, and Tort Evolution · Legal Frameworks and Liability Navigation, The AI Lobbyist: Certified AI Policy Strategist
- The Liability Risk Assessment and Mitigation Strategy · Legal Frameworks and Liability Navigation, The AI Lobbyist: Certified AI Policy Strategist
Where it shows up at work
A definition is where Section 230 starts. The lessons above teach it inside the competencies below, which are what job descriptions ask for and what the GAGE credential records. Every link here is drawn from the same careers map that builds a role's readiness check.
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
One lesson on this page teach it as a primary outcome.
Turns technical uncertainty into a one-page decision: material risks, trends, exceptions, remediation, and what the board is being asked to accept.
One lesson on this page teach it as a primary outcome.
Keeps the living record: each risk with a named owner, rating, treatment, residual risk, monitoring metric, threshold and review date.
One lesson on this page teach it as a primary outcome.
Roles that hire for it
Each role page shows the full competency set, what the seat decides, and a readiness check against your own evidence.
- Chief Risk Officer, AI risk editionneeds it at depth
- AI Risk Managerneeds it at depth · 2 open postings this week
- AI Governance Managerneeds it at depth
- Chief Privacy Officer, AI privacy editionneeds it at depth
- Chief AI Officerneeds it at depth
- Cybersecurity Risk Analystneeds working knowledge
How job descriptions say it
Postings rarely use the textbook word. These are the phrases the careers map reads as asking for the competencies above.
Where the frameworks place it: NIST AI RMF MAP and MEASURE; ISO/IEC 42005; EU AI Act Article 27; NIST AI RMF MANAGE.
One interview question about it
Take me through an AI risk and impact assessment you would run for a hiring tool. What do you assess, and who signs?
Asked of candidates for ai risk and impact assessment. Answering it in your own words is exactly how a GAGE topic is passed, and the credential records the pass where an employer can check it.
If you come from another field
Some backgrounds already carry this competency, and the readiness check gives credit for it.
- Privacy and data protection carries it as work you can show: A DPIA is an impact assessment; the AI version adds accuracy, bias and oversight.
- Internal audit and IT audit carries it as a claim to back up: Audit committee reporting is part of senior audit roles.
- Nonprofit program and grants oversight carries it as a claim to back up: Board and funder reporting is the cadence a governance committee needs.
Terms it appears with
Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.