AAIR: Advanced in AI Risk

Explainability and input-data provenance are necessary to assess whether AI outputs are accurate, fair, and based on appropriate data. Without them, an organization may be unable to identify discriminatory or inaccurate outputs, creating regulatory and reputational risk.