Generative AI

Key follow-up questions can help hiring managers probe beyond job seekers’ GenAI-coached responses.

AI experts Thomas H. Davenport and Randy Bean explain the top AI trends leaders should watch in the new year.

Many organizations aren’t sure how to reap business value from GenAI. This series offers expert insights and examples.

Catch up on MIT SMR’s most popular artificial intelligence articles and get expert advice on solving key AI problems.

This Me, Myself, and AI bonus episode features previous speakers and synthesis from hosts Sam Ransbotham and Shervin Khodabandeh.

Will your generative AI app succeed? A rigorous process for assessing its quality — before and after launch — is key.

Catch up on insights you might have missed as you look ahead to the potential business challenges of 2025.

On the Me, Myself, and AI podcast, Special Olympics CEO Mary Davis explains the opportunities AI raises for people with intellectual disabilities.

Consider these three takeaways for leaders on how to avoid pitfalls while using generative AI tools in decision-making.

On this Me, Myself, and AI podcast episode, the nonprofit’s CEO argues for more transparency when companies err with AI.

The second Artificial Intelligence and Business Strategy report of 2024 looks at how organizations that combine organizational learning and AI learning are better prepared to manage uncertainty.

Applying a comprehensive cost-benefit analysis to generative AI use cases will highlight where the technology pays off.

Research shows that better decision-making can be achieved through the strategic use of artificial intelligence systems.

On the Me, Myself, and AI podcast, journalist Jeremy Kahn discusses the risks of an overreliance on AI technologies.

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

Survey report: What 1,000 business and data leaders think about using generative AI for analytics.

Research finds that the adoption of generative AI tools across industries has been slower than many people anticipated.

Image- and text-generation tools are helping innovation groups improve ideation and creativity and gain market insights.

This issue of MIT SMR focuses on analytics, the challenges of advancing artificial intelligence, and business strategy.

Two frameworks can help organizations identify potential harms posed by algorithms, AI tools, or large language models.