One of the key governance tenets around the use of AI is the concept of having a “human in the loop” to query AI-generated responses and to ensure that AI outputs remain explainable, unbiased, and harmless. But there are obvious questions: Which “human” should it be left to—and should it be one person?
AI governance
Posted inArtificial Intelligence
In the AI governance race, EY’s Dilek Çilingir explains how compliance can keep AI in step
AI has driven massive change in three years, but governance hasn’t kept up, creating integrity and compliance gaps. Risks from hallucinations, misunderstood outputs, and democratized use are now clearer, while some organizations are cutting soaring AI costs.
Posted inBest Practices
The inference gap: Auditing the AI risk no framework requires you to see
When external regulation lags, internal audit becomes the only line of defense. AI’s environmental footprint is a live governance exposure, and right now, almost no one is auditing it. A company can run an AI product billions of times a day with no obligation to measure what it consumes: No requirement to report the energy […]
Posted inBest Practices
AI demands a new risk operating model. Are risk leaders up to the task?
For years, risk, compliance, and internal audit functions have been asked to absorb and integrate new technologies and ways of working while facing off against increased business expectations without fundamentally changing the risk management operating model that underpins them. Capabilities such as continuous controls monitoring, dynamic risk assessments, and new reporting requirements have been layered […]
Posted inBest Practices
The Reverse Information Paradox: The role of compliance in AI governance
AI use creates hidden knowledge transfer to providers, raising governance, IP, and third-party risk issues. Compliance officers need to define ownership boundaries and contract protections around AI interactions.
Posted inBest Practices
Regulators are likely to pass laws on AI use in healthcare. Here’s how to prepare
Artificial intelligence tools hold breathtaking potential in the healthcare ecosystem.
Posted inBest Practices
AI in compliance: Are we still driving, or just riding shotgun?
AI may be able to detect risk faster than any compliance team—but it still cannot own accountability.
Posted inBest Practices
AI, Data, and the Compliance Mandate: Lessons from APAC
AI governance is no longer a future-state exercise. It is a current control environment issue.
Posted inRisk Management
AI governance: The new compliance imperative
Artificial intelligence has moved from the innovation lab to the operating core of the modern enterprise. That shift has profound implications for corporate compliance professionals. AI is no longer simply a technology issue for the CIO, a legal issue for the general counsel, or a cybersecurity issue for the CISO. It is now a governance […]
Posted inBest Practices
A framework for human-accountable automation in vendor oversight
Artificial Intelligence is accelerating the oversight of third parties, allowing for faster workflows, more consistency and more scalable decision-making. It may also help reinforce ethical standards by making certain checks more systematic.