An experiment in which two people play a modified version of Tetris revealed that players who get fewer turns perceive the other player as less likeable, regardless of whether a person or an algorithm allocates the turns.
A study investigates whether a language-model-powered writing assistant that generates some opinions more often than others impacts what users write – and what they think.
By using deep learning-generated "fingerprints" to characterize millions of protein fragments, researchers have computationally designed novel protein binders that attach to key targets.
Current ML models designed for human-written content have significant performance discrepancies in detecting paired human-generated misinformation and misinformation generated by algorithms.