A whistleblower alleges that employees of a global company manipulated the algorithm of its new AI-powered procurement platform to steer contracts to a government-connected intermediary who funnelled payments to officials. Investigators discover that the company's AI-assisted due diligence system flagged the intermediary as low-risk despite obvious risks, and AI tools missed other red flags, raising questions about accountability, evidence, disclosure and remediation.

Panellists will discuss:

• Accountability gaps when algorithmic outputs facilitate or fail to detect corruption
• Forensic challenges arising from AI tools that generate or interact with key communications and other relevant data
• Explanation of AI-assisted decisions and failures to enforcement authorities
• Remediation strategies when AI systems are part of the compliance failure