Burden of Proof
The burden of proof for AI has shifted: assertion no longer works, and organisations must evidence every claim they make about their systems.
Burden of Proof is a professional reference by Professor Kai London. It covers testable claims, risk classification, intended purpose, data provenance, performance claims, human oversight, the evidence estate, model and system cards, logging as evidence and conformity assessment.
Written for boards, executives, CISOs, engineers, risk and compliance leaders and practitioners who need clear, defensible guidance they can put to work, the book combines explanation with practical frameworks, checklists and decision aids.
Key topics include: testable claims, risk classification, intended purpose, data provenance, performance claims, human oversight, the evidence estate, model, system cards, logging as evidence, conformity assessment.
Customer Reviews
ThriftBooks ® and the ThriftBooks ® logo are registered trademarks of Thrift Books Global, LLC
