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AI auditing ecosystem

As explained in Introduction to Generative AI, Second Edition

An AI auditing ecosystem is the network of independent auditors, methods, standards, and institutions that evaluate AI systems and their risks.

An AI auditing ecosystem is a network of independent auditors, evaluation methods, standards, and institutions that examine AI systems and their risks. It makes auditing a shared governance function rather than a task performed only by the organizations that build or deploy AI. section 10.30

Within European AI governance, a robust ecosystem is treated as part of the enforcement structure needed to balance innovation with the protection of citizens’ rights. Voluntary compliance can support this goal, but defections or weak enforcement may limit its effectiveness. section 10.30

How Introduction to Generative AI, Second Edition covers it

How deep it goes
Defines the ecosystem’s governance role but stops short of detailing audit procedures, standards, or institutional structures.
Examples
Uses the European Union’s regulatory framework and companies’ intended adherence to a voluntary code as examples.
What you can do after
Evaluate how auditing capacity can influence the enforcement and legitimacy of AI regulation.
How it connects
Connects AI regulation with enforcement, voluntary compliance, innovation, and citizens’ rights.

This explainer was generated by Manning's knowledge graph from the text of Introduction to Generative AI, Second Edition. The section links point to the parts of the book it draws on.