AI Ethics and Governance

How can governments implement oversight for public sector AI systems? We review policy options and open questions.

For AI to benefit society, it must work well for diverse populations. We discuss ideas to bake inclusiveness into AI from the start.

AI could profoundly improve life but also concentrate power. We discuss potential scenarios and ideas to guide an optimal path.

Explore sources of unfair bias in AI systems and standards for auditing algorithms to promote fairness and transparency.

Can algorithms be discriminatory? See how model transparency and external audits safeguard fairness.

Grassroots campaigns worldwide are driving adoption of ethical AI practices. This article highlights key groups advancing the cause.

What principles should guide the development of ethical AI systems? This article proposes a framework to align AI with human values.

Explore the evolving landscape of AI regulations and their impact on technology development.

Artificial intelligence promises groundbreaking advances for companies across industries. But as AI’s capabilities grow, so do concerns about how it handles our personal data. For business leaders, this creates a tricky tightrope walk. They must push the boundaries of what’s possible with AI while simultaneously protecting individual privacy. It’s not just about complying with regulations…

As artificial intelligence (AI) becomes increasingly integral to business operations, a critical challenge has emerged: recognizing and mitigating bias in AI systems. These biases can lead to unfair or discriminatory outcomes, potentially harming both individuals and businesses. For company leaders, understanding how to identify and address AI bias is crucial for ethical and effective AI…