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Publicly Available Exception

The PDPA provision (First Schedule, Part 2, para 1) permitting an organisation to collect, use, or disclose personal data without consent where that data is generally accessible to the public with no meaningful legal or other restriction, assessed via a reasonable-person test applied to the specific data at the time of collection.

Defined in 2 GAGE programs, which carry 3 distinct definitions of it. The wording above is taught in AI Data Governance: The Data Chair.

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.

AI Data Governance: The Data Chair

The PDPA provision (First Schedule, Part 2, para 1) permitting an organisation to collect, use, or disclose personal data without consent where that data is generally accessible to the public with no meaningful legal or other restriction, assessed via a reasonable-person test applied to the specific data at the time of collection.

AI Literacy & Professional Conduct

A provision in the PDPA's First Schedule (para 1, Part 2) that lets organizations rely on publicly available personal data for generative AI development, subject to a reasonable-person test; discussed in the PDPC's 2026 generative AI guidance mainly for AI model developers, not day-to-day prompt use.

AI Data Governance: The Data Chair

A provision under Part 2, First Schedule of the PDPA that may permit use of publicly available personal data, including for generative AI development, without separate consent, subject to a reasonable-person test of whether the data was genuinely publicly available.

Where it is taught

The exact lessons this term appears in. The first 7 topics of every program are free with a free account.

Terms it appears with

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