Artificial Intelligence

Seemingly trivial differences in training data can skew the judgments of AI programs—and that’s not the only problem with automated decision-making

The use of artificial intelligence is so varied and industry-specific, no one federal agency can manage it alone

The Luddites did not hate technology—but they did fight the way it was used to exploit humans.

A checklist derived from six neuroscience-based theories of consciousness could help assess whether an artificial intelligence system achieves this state

AI can generate clear, concise text—but people still need to learn how to write

Social media companies’ drive to keep you on their platforms clashes with how people evolved to learn from each other

Language model AIs seem smart because of how they string words together, but in reality, they can’t do anything without many people guiding them every step of the way

One of the most in-depth catalogs of an animal’s brain-body connections ever compiled ties neural activity to roundworm behavior

Effective regulation of AI needs grounded science that investigates real harms, not glorified press releases about existential risks

From college plagiarism to cybercrime scams, generative AI is eroding trust in online content. Digital watermarking is no quick fix for the problem

“One-size-fits-all” regulation will sideline medical and research benefits promised by the advent of artificial intelligence

More training and more data can have unintended consequences for machine-learning models such as GPT-4