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.

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

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 ...

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

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

‍ 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 ...

Brazil takes the lead in South America's AI regulation, proposing three laws to govern ethical AI development, building on a comprehensive AI strategy.

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

OpenAI’s conversational AI bot ChatGPT has garnered a lot of attention in recent weeks. We asked it about ethical AI. Here’s what it said.

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