"The platform has transformed how we approach Al governance, enabling us to scale our initiatives with confidence while maintaining the highest standards of safety and compliance." One platform for AI ...

With our Governance platform for AI, you can prepare to implement elements of an AI risk management system and fulfill EU AI Act obligations. Identify your high-risk AI use cases. Adopt appropriate ...

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 ...

In response to concerns about harm that can result from the use of AI, and the calls for greater governance of AI systems by the AI ethics movement, legislation addressing the use of these ...

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 ...

Organizations are increasingly investing in AI tools and systems to enhance their processes and products, and maximize value. AI’s integration with businesses is expanding globally, with recent ...

As the use of AI proliferates transparency around such systems and their outputs become crucial. In this blog post, we examine what is meant by AI transparency and explainable AI and outline how they ...

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 ...

Your all-in-one guide for maximizing the benefits of AI whilst minimizing financial, legal, and reputational risk Map and monitor existing and emerging legislation, incidents, and lawsuits globally • ...

Our mission is to empower enterprises to adopt and scale AI with confidence. Established at University College London by Adriano Koshiyama and Emre Kazim, Holistic AI was founded on the vision of ...

With the increasing use of machine learning models in different areas, it has become important to address the bias problem in these models. This issue can appear in different aspects such as racial, ...