Unified AI governance: discover shadow AI, prioritize risk, and reconcile assets into an audit-ready inventory across all ...

Unified AI governance: discover shadow AI, prioritize risk, and reconcile assets into an audit-ready inventory across all systems.

Holistic AI adds runtime enforcement to govern agent actions, controlling tools, data access, and costs across all AI systems ...

Holistic AI was founded to solve a critical gap: AI was advancing faster than it could be governed. We continue to drive this agenda through our foundational research, hackathons, published papers, ...

The 2026 AI Index from Stanford HAI puts hard numbers behind what we've all been sensing anecdotally: AI capabilities are advancing faster than our ability to measure, certify, and control them. On ...

Human-in-the-Loop AI (HITL) addresses the need for human oversight and accountability. Unlike fully autonomous AI systems that operate without human intervention, HITL AI involves humans at critical ...

In today's dynamic digital landscape, businesses increasingly depend on artificial intelligence (AI) to streamline operations, enhance productivity, and foster innovation. The rise of Shadow ...

‍Generative AI is currently at the peak of the AI hype cycle, and is being used for a wide range of applications. Trained on vast amounts of data, generative AI models can produce content such as text ...

The bias problem in classification tasks and the different strategies used for bias mitigation. How these strategies are grouped into categories and a brief introduction of the most representative ...