As open-weight AI models become easier for internal teams to access and customize, many organizations are moving from limited experimentation to broader adoption without fully defined governance. That creates real business risk, because the appeal of flexibility and speed can outpace the policies, oversight and technical controls needed to support safe and effective enterprise use. Unlike closed commercial tools, open models can introduce added complexity around sourcing, oversight and consistency across teams and use cases. Below, members of Forbes Technology Council share overlooked risks leaders should address before scaling the use of open AI models across an enterprise. Read the full article.
