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

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 ...

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.

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

How is AI being used in marketing? AI is being used in marketing in a variety of ways – such as in analyzing customer behavior, automating tasks, personalizing content, and predicting outcomes. Using ...

What actions have been taken against companies illegally using AI in Europe? The majority of the penalties and fines issued for AI thus far have been in the EU as authorities have cracked down on the ...

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

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

Explore NYC Local Law 144 - The NYC Bias Audit Law. Learn about automated employment decision tools, audits, and compliance. Impact on employers.

This blog provides an overview of AI risk management, including the risks and best practices for managing AI implementation.

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