AI in daily life powers hidden features in smartphones, appliances, navigation, and fitness devices, enhancing efficiency, ...

While AI is helping companies cover more ground faster, it is crucial that the models being used are fine-tuned to their specific risk exposures.

From simple text generation to autonomously powering robotic arms on production lines, AI technology offers enterprises a kaleidoscope of new capabilities. So which aspects of AI advancement have ...

When the AI boom hit a few years ago, there were, naturally, concerns that bots would replace human workers, but good news: Artificial intelligence is instead reshaping the way government workers do ...

Much of the focus on the use of AI in K-12 instruction has been on traditional academic subjects and whether the technology is helping or hurting students’ ability to learn the subject matter. Less ...

Organizations have a wealth of unstructured data that most AI models can’t yet read. Preparing and contextualizing this data is essential for moving from AI experiments to measurable results. In ...

Editor’s note: This work is part of AI Watchdog, The Atlantic’s ongoing investigation into the generative-AI industry. On Tuesday, researchers at Stanford and Yale revealed something that AI companies ...

Algorithmic Impact Assessments (AIA): Mandatory reviews that evaluate the potential social impact of a tool before it is deployed. Bias testing: Regular audits to ensure that automated systems do not ...