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AI decisions are only defensible when the reasoning behind them is visible, traceable, and auditable. Explainable AI delivers that visibility, turning black-box outputs into documented logic that compliance officers can stand behind when regulators, auditors, or stakeholders demand answers.
Regulators in Europe are focused on punishing energy firms that make deceptive claims on net zero targets, as TotalEnergies recently discovered.
This report quantifies, analyzes, and visualizes the impact of typological regulations on compliance so that teams can more efficiently and effectively protect against non-obvious sources of regulatory risk.
Internet-enabled scams are drawing national attention, with authorities treating them as organized transnational crimes. The FBI says confidence schemes now make up a significant share of online fraud, prompting questions about how the private sector is responding.
A Texas-based gas company has disclosed that a Mexican affiliate made payments to local government officials that may have benefited a cartel designated as a terrorist group by the U.S. government. Entanglement with cartels is an increasing risk for companies doing business in Mexico.
Most organizations would say they value stability. Predictable operations, consistent output, and well-defined processes are generally considered marks of maturity. The assumption is simple: if a system can be made reliable, it becomes resilient.
Compliance Week recently interviewed Charles Duross, former Chief of the DOJ’s Fraud Section’s FCPA Unit, to talk about the Department of Justice’s recently revised monitorship policy.
Insurance firms are warning that AI-washing could trigger a slew of cases against directors, and are adjusting their directors’ and officers’ liability premiums accordingly. With regulators cracking down on AI-washing, compliance could be a crucial line of defense and save companies on their insurance costs.