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Dark pattern

A general term, used across the technology industry and by researchers, for a user-interface or conversational design choice that steers a user toward a decision, continuing to engage, making a purchase, sharing more data, that serves the product's interest more than it serves the user's own clearly considered preference.

Defined in 2 GAGE programs, which carry 4 distinct definitions of it. The wording above is taught in Senior AI Scam Defense.

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.

Certified China AI Regulatory Professional (CCARP)

A user-interface or promotional-display design intended to mislead or manipulate a consumer; the broader design pattern covers many manipulative techniques beyond pricing (forced continuity, confirm-shaming, hidden opt-outs), but in this topic's context the term specifically refers to fabricated "was" prices, undisclosed fees, or deceptive discount framing prohibited by Article 18 of the Internet Platform Pricing Conduct Rules.

Senior AI Scam Defense

A general term, used across the technology industry and by researchers, for a user-interface or conversational design choice that steers a user toward a decision, continuing to engage, making a purchase, sharing more data, that serves the product's interest more than it serves the user's own clearly considered preference.

Senior AI Scam Defense

an interface design choice, such as a multi-step cancellation screen or an automatic "are you sure" prompt, built to make leaving a platform feel more costly than it needs to be; named in Section 3N as a feature of the platform itself, separate from the human scam contact.

Senior AI Scam Defense

A design or communication technique intended to lead a person toward a decision, such as believing a purchase is required to enter a sweepstakes, that they would not otherwise make if the information were presented clearly, as alleged in the FTC's settlement with Publishers Clearing House.

Where it is taught

The exact lessons this term appears in. The first module of every program is free with a free account.

Where it shows up at work

A definition is where Dark pattern 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.

Compares the EU AI Act, NIST AI RMF, ISO/IEC 42001 and sector rules by intent and control objective, and says where they do not overlap.

One lesson on this page teach it as a primary outcome.

Applies GDPR, CCPA and sector rules to training data, inference, automated decisions, lawful basis, individual rights and cross-border transfer.

One lesson on this page teach it as a primary outcome.

Tracks executive orders, OMB guidance, agency rules and the state patchwork, and knows which state laws reach hiring, insurance and consumer decisions.

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.

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.

“map requirements”“framework alignment”“multiple frameworks”“unified control framework”“privacy law”“data protection”

Where the frameworks place it: EU AI Act; NIST AI RMF; ISO/IEC 42001; GDPR.

One interview question about it

Map one control to the EU AI Act, NIST AI RMF and ISO/IEC 42001 at once, and tell me where the mapping breaks.

Asked of candidates for framework crosswalking without false equivalence. 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.

Terms it appears with

Not an alphabetical neighbourhood: these are the terms taught in the same lessons, ranked by how often they appear together.