Taneva Osaka

Even if guidelines and rules for AI utilization are established, there is no guarantee that they will be correctly understood in the field and translated into actual actions. What are the factors that render AI governance meaningless, such as shadow AI, inappropriate use of generative AI, and differing judgments across departments?
In this session, through a panel discussion by corporate practitioners, we will identify points that need to be reviewed in your company's AI governance and organize the challenges from the perspectives of policies and guidelines, operation, monitoring, education, and organizational culture.
Furthermore, we will consider specific next steps that will lead to behavioral changes at the operational level.
Transforming AI governance from a "rule-making initiative" to a system that is understood, chosen, and followed at the operational level. You will take away practical tips for increasing its effectiveness.

"We've created AI usage guidelines, but we're not sure if they're actually working in practice." "We feel they need reviewing, but we don't know where to start." "We want to gain the necessary perspectives and practical knowledge to formulate them in the future."
This session is an interactive workshop for information security and AI governance professionals who have these kinds of concerns.
Using a template guideline and challenge cards, groups will consider what rules, operations, visualization, and training are necessary to address the challenges anticipated when using AI.
Rather than simply adding prohibited actions to the list, our aim is to design guidelines that are followed in practice and can be continuously improved.

Through this workshop, you will visualize the current state and gaps in your company's guidelines and prioritize the elements that are lacking. You will take home the completed draft guidelines along with specific next actions that your company will take after the session.