As employees increasingly use AI tools, many organizations face a persisting challenge: building the trust needed to sustain adoption.
For most colleges and universities, access to AI tools is no longer the barrier. The real work is building the clarity, confidence, and shared responsibility to use them well.
Microsoft has published a draft code of conduct that details how its homegrown AI models should behave, with human control taking priority over model capability, autonomy, and even task completion.
New research from Caylent, an AI-focused Amazon Web Services Premier Tier Services Partner, found that enterprises are already moving agentic AI beyond pilots and into production environments. At the same time, organizations are putting strict conditions around autonomy, making governance and control the next major challenge for enterprise AI adoption.