Kamales Lardi—author of ‘Artificial Intelligence for Business’ and a global keynote speaker on A.I. transformation—argues ...

An estimated 90% of the training data for current generative AI systems stems from English. However, English is an ...

Humans learn by breaking through and plateauing, persisting and resting, and, occasionally, experiencing the blissful flow state. Mastering a skill can take decades, but the learning process unfolds ...

We must turn our attention to how AI's greatest strengths are dramatically improving innovation for creating real societal ...

Humans need to embrace domains where AI still falters, and where human creativity, ethics and emotion emain indispensable.

Irrational tendencies — including the hot hand, base-rate neglect and sunk cost fallacy — commonly show up in AI systems, ...

Given the pace of innovation, and the time it takes for organizations to adapt, companies should prepare now for multiagent systems.

Curiosity fuels innovation, drives learning, and inspires the questions that lead to breakthroughs. AI can simulate answers, ...

Tune in to our conversation with Tal Barmeir about AI's impact on productivity and software testing in 2025. Barmeir explains ...

Beyond harm prevention we must set the foundation for proscial AI, AI systems that are tailored, trained, tested, and ...

Yimin Xiao, Cartor Hancock, Sweta Agrawal, Nikita Mehandru, Niloufar Salehi, Marine Carpuat, and Ge Gao. 2025. Sustaining Human Agency, Attending to Its Cost: An Investigation into Generative AI ...

Well-designed AI can free workers from routine tasks, letting them focus on critical thinking, empathy and creativity.