Extension: Data Governance, Bias Mitigation, And Legal Risk: A Holistic AI Compliance Framework for U.S. Companies in High Stakes Sectors
Data Governance, Bias Mitigation, And Legal Risk: A Holistic AI Compliance Framework for U.S. Companies in High Stakes Sectors presents the following source proposition: However, it has also introduced significant challenges related to algorithmic bias, lack of transparency, weak data governance, and increasing legal and regulatory exposure. This proposition is pertinent to Kaal's source-bound claim that The increasing execution of non and deferred prosecution agreements since 2002 has raised the overall regulatory burden borne by the corporate entities subject to them. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.
governance-designcorporate-governancelaw-and-legal-systemscompliancehistorical-responsescholarly-literaturecrossref