Unmanaged AI risks lead to costly errors, compliance failures, and damaged trust. This course teaches how to identify operational risks, implement oversight processes, and balance innovation with accountability.
Objectives:
- Identify risks from poor data quality, automation overreliance, and opacity
- Implement oversight processes like audits and human review to catch errors
- Create clear policies that define acceptable AI use across business operations
- Balance innovation goals with accountability standards that protect outcomes
- Ensure AI supports human judgment rather than replacing critical decision-making
