By Compliance Week2024-10-09T15:08:00
Compliance Week’s AI & Compliance Summit, held Oct. 8-9 at Boston University, gathered business leaders, academics, and government officials to discuss some of the biggest questions around AI, including business adoption standards, ethical guardrails, and its application in decision making. Check out some of the sights from the summit.
2025-10-14T20:40:00Z By Neil Hodge
Companies may face significant financial and legal risks if they fail to vet suppliers and third parties over their use of unauthorized AI and how the technology may use and share their corporate data.
2025-10-14T19:44:00Z By Anna Grover, CW guest columnist
Most compliance professionals have faced it: a regulator or client requests a policy, and several slightly different “final” versions appear. The issue often stems from reactive, siloed work without a unified governance framework.
2025-10-10T20:28:00Z By Tom Fox
Compliance professionals have long known that systems fail when governance does. An MIT study’s finding that 95 percent of enterprise artificial intelligence (AI) pilots fail underscores how essential compliance-grade discipline is to the success of emerging technologies.
2026-05-06T07:00:00Z 2026-05-08T21:00:00Z Provided by Compliance Week
Join 500+ senior ethics, compliance, legal, audit, and governance professionals — together with regulators, board members, investors, and leading service providers — at the industry’s most trusted gathering. This year’s Compliance Week National builds on our strategic combination with the Ethics & Compliance Initiative (ECI), delivering access to exclusive research, ...
2025-06-02T12:04:00Z By Aaron Nicodemus
Global supply chains are constantly in flux: crucial vendors could suddenly go bankrupt, fail to produce key components without warning, or even lose your firm’s data in a breach. The result has drawn ever more attention to third-party risk management as a critical element of many businesses.
2025-05-01T22:34:00Z By Aaron Nicodemus
Compliance has long been reluctant to tap the power of its organization’s data. Some of that hesitancy is institutional, either through inertia or outright hostility. Data is often kept in siloes, overseen by different administrators, stored in different systems.
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