Algorithmic transparency
Disclosure enabling affected parties to understand system purpose, inputs, governance, or behavior.
What Algorithmic transparency does not show
Publishing source code is neither always required nor sufficient for meaningful transparency.
Related terms in Governance and rights
Who may use content for what: rights reservations, opt-outs, licences, model documentation and the accountability vocabulary around them.
per-use rights · rights feed · Text and data mining · Rights reservation · Machine-readable opt-out · Usage preference · Content-Usage header · AI training license · Dataset license · Open license · Public domain · Fair use · Transformative use · Copyright provenance · Training-data summary · General-purpose AI model · Foundation model · Systemic risk · Model card · Data sheet · Data lineage · Consent record · Lawful basis · Data controller · Data processor · Subprocessor · Explainability · Accountability · Risk assessment · Impact assessment · Red teaming
Questions about Algorithmic transparency
What is Algorithmic transparency?
Disclosure enabling affected parties to understand system purpose, inputs, governance, or behavior.
What does Algorithmic transparency not show or guarantee?
Publishing source code is neither always required nor sufficient for meaningful transparency.
Which area of the glossary does Algorithmic transparency belong to?
Governance and rights: Who may use content for what: rights reservations, opt-outs, licences, model documentation and the accountability vocabulary around them.
← Subprocessor · Explainability →
See it in the full glossary · 772 terms across 19 areas.
Free browser extension
See this on any site you visit, in one click.
CrawlCheck for Chrome grades every site you visit A–F and shows, from your own browser, what search engines and AI assistants are actually served. Free, no account.