Companies quickly began piloting AI tools, but when it came time to scale those projects, many obstacles stood in the way. Perhaps most troubling was the governance gap.
“It's amazing how quickly things are moving. It means governance processes need to evolve as well.” Joe Depa, EY's global chief innovation officer, told CIO Dive.. Traditional governance models are not fully compatible with today's AI applications.
As pressure mounts to demonstrate the benefits of continued focus on AI, CIOs have sought to help make adjustments where necessary.
At EY, for example, Depa says management created three governance protocols that address different levels of risk for each use case. “It’s important to create a risk profile and put the right guardrails in place so that organizations can responsibly innovate to avoid it,” Depa said.
CIOs whose companies are experimenting with the latest AI technologies are wary of the risks associated with proceeding without building the right foundation. It states that inadequate AI access controls can lead to widespread data breaches and operational disruptions. of IBM investigation. Governance gaps can also exacerbate the high costs of data breaches and the financial damage associated with poor risk management.
Governance is no longer a term that scares executives, but rather the safest way to accelerate time to value. Ultimately, poor risk management and mitigation is counterproductive and rarely leads to success.
“If you provide clarity and guardrails, let your team innovate within those boundaries. [is] In fact, it's a great way to accelerate innovation. ” Department store Said. “Governance should essentially be a means to responsibly say yes.”
Next year in particular will see more organizations placing greater emphasis on AI governance and proper risk management. Scale your agent AI project.
Here are six stories that demonstrate the increased focus on AI governance this year.
