IT Governance & Leadership

After deploying hundreds of AI solutions, financial services company USAA is breaking new ground with generative AI.

Learn how to transform employees’ use of publicly available GenAI tools at work from organizational liability to asset.

The right data and the right people are essential to AI success.

Cyber resilience demands the creation of a thorough, well-rehearsed crisis communications plan.

Mathematica CIO Akira Bell discusses the role of the chief information officer and best practices on data governance.

Businesses must thoroughly evaluate the risk of deploying a new technology to avoid reputational and financial damage.

This Canadian bank has become known for developing AI tools that are both innovative and responsible.

Experts in artificial intelligence debate how prepared organizations are to comply with the EU AI Act’s requirements.

Experts debate how effectively organizations are adjusting risk management practices to govern AI.

Learn how grassroots automation helps companies speed up digital transformation efforts.

Business leaders can identify and avoid flawed AI models by employing statistical methods and statistics experts.

Learn three principles for reorganizing work around AI.

The nonprofit is delivering technology and services to help its staff build AI applications efficiently and safely.

On the Me, Myself, and AI podcast, Mark Surman discusses Mozilla’s work to protect internet users as AI tools multiply.

Regulators want better cybersecurity oversight by corporate boards. Here’s how to find a qualified expert director.

Unilever examines its AI projects with a risk analysis process that looks specifically for ethical trouble points.

New research from MIT SMR and BCG reveals most organizations are unprepared for the risks posed by generative AI tools.

A panel of experts weighs in on whether oversight of responsible AI should be entrusted to a single business function.

HR teams must prepare for generative AI’s effects on workers’ job roles, training, and access to information.

MIT Sloan Management Review’s fall 2023 issue includes a look at what it takes to lead artificial intelligence efforts.