If people don’t have confidence in gen AI’s output, they won’t use it, and there goes any chance of organizational transformation. Building this confidence needs to be done intentionally, thoughtfully, and thoroughly. That only rarely describes reality.
No question: this isn’t easy, because there are two conflicting priorities. To create a trusted stock of knowledge that can be put to good gen AI use, the data needs to be transparent and accessible.
At the same time, there needs to be effective management of data governance, security, and usage. Finding the right balance is a job for the C-suite. It is up to top leaders, with the support of an AI oversight committee and legal and regulatory experts, to define policies, establish compliance procedures, set up guardrails, and ensure that human judgment has the last word.
Read more | FORTUNE