Researcher proposes adapting food safety's HACCP methodology to create an auditable self-control standard for AI, bridging compliance gaps in automated systems used by auditors and accountants.
Continue reading
Researchers propose Ontological Knowledge Blocks (OKBs), a programmable framework that automates AI governance verification and compliance auditing beyond static checklists, targeting transparency ...
Academic paper critiques overuse of 'human in the loop' framing in AI systems as false safety assurance, raising concerns about bias, accountability, and transparency in deployed decision-making sy...
Researchers propose a trusted execution environment approach to make LLM-based grant evaluation auditable and contestable while protecting model and scoring logic from applicant gaming.
Survey reveals massive disconnect between enterprises' self-assessed AI governance readiness (74%) and actual compliance capability (27%), highlighting implementation gaps in audit controls.
External audits rely heavily on manual testing despite automation advances, creating efficiency and risk gaps as accounting systems become increasingly digital.