Even though full enforcement won't begin until 2026–2027, the GPAI obligations are legally binding as of August. The smartest ...

What does an AI auditing process involve? Algorithm auditing is an ongoing process that requires holistic knowledge of a system, including the context it is used in, what it was designed to do, and ...

This blog post will provide an overview of what data contamination is, why it can be harmful, how to detect it, and how to mitigate it in the context of LLMS.

This blog post presents a comprehensive catalogue of benchmarks, categorized by their complexity, dynamics, assessment targets, downstream task specifications, and risk types.

Explore AI transparency and explainable AI, their importance, and how Holistic AI helps build trust, governance, and clarity in AI systems.

Learn about bias mitigation strategies in classification tasks. Explore methods to address bias and promote fairness in machine learning models.

Bias in artificial intelligence systems is a critical issue that affects fairness and trust in these technologies. It can manifest in various forms, such as gender, race, age, and socio-economic ...

Recommendation systems have become ubiquitous in our digital lives, influencing the content we consume, the products we purchase, and the information we encounter online. Fuelled by vast amounts of ...

Discover Human-in-the-Loop AI: integrating human expertise with AI to ensure accuracy, ethical compliance, and adaptability in today’s technology landscape.

The use of large language models (LLMs) such as Galactica, ChatGPT, and BARD have seen significant growth over the past few months.

Discover how to protect your enterprise from Shadow AI risks. Learn to detect unauthorized AI usage, ensure compliance, and securely harness AI's potential.