By Compliance Week2020-03-05T14:35:00
We recently spoke with the compliance chief for California-based biopharmaceutical Aimmune, Fabiana Lacerca-Allen, about her role in helping her company proactively plan for and respond to the risks posed by COVID-19.
2020-04-06T13:11:00Z By Aaron Nicodemus
The status of compliance practitioners has grown over the past decade, buoyed by changes in the regulatory space as well as record penalties for transgressions. It will become even more important in the wake of the coronavirus pandemic.
2025-11-26T19:34:00Z By Adrianne Appel
One of the largest wound care practices in the nation and its founder have agreed to pay $45 million and be subjected to third-party monitoring, to settle allegations that the business intentionally overbilled Medicare by priming its electronic medical records system to do so.
2025-11-26T19:21:00Z By Tom Fox
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.
2025-11-20T21:55:00Z By Ruth Prickett
Geopolitical instability and a general focus on increasing growth and productivity by governments worldwide are causing a slew of regulatory changes in the financial services sector. But most firms are failing to identify potential compliance changes early enough to make meaningful decisions.
2025-11-05T20:28:00Z By Ruth Prickett
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.
2025-10-24T18:57:00Z By Ruth Prickett
“Hallucinatory” citations and errors in an AI-assisted report produced by Deloitte for the Australian government should be a wake-up call for compliance officers about the risks of placing too much trust in AI.
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