Psychology is foundational to artificial intelligence. Its insights into cognition, learning, and behavior have profoundly shaped AI's development, from early neural networks to current advancements.
Large language models (LLMs) exhibit social desirability bias on personality tests, scoring higher on positive traits and lower on negative ones. This bias is stronger in newer, larger models, potentially impacting their use in research simulating human behavior.
OpenAI’s o3 AI model achieved human-level performance on the ARC-AGI intelligence test, surpassing previous AI benchmarks. While its adaptability is impressive, questions remain about whether this marks real progress toward artificial general intelligence (AGI) or just test-specific optimization.
A recent study found that 2.4% of Danish high school students use chatbots for social or emotional support. These students reported higher loneliness and lower perceived social support, suggesting that some socially disconnected youths turn to chatbots as coping tools.
A recent study found that advanced AI models, like GPT-4 Turbo, perform better than random guessing on global history questions but still fall far short of expert-level understanding.
A recent study revealed how humor in AI-generated images exposes surprising patterns of bias, shedding light on the ways artificial intelligence systems reflect societal stereotypes.
Large language models outperformed neuroscience experts in predicting study outcomes, achieving 81.4% accuracy versus 63.4%. Their success stemmed from superior contextual integration.
Recent research found that AI-generated scientific summaries were simpler, improved comprehension, and enhanced trust in scientists compared to human-written summaries, though they slightly reduced perceptions of intelligence.
AI models, like ChatGPT-4, can simulate human-like reasoning by solving theory of mind tasks. This breakthrough suggests AI’s potential for advanced social interactions but raises ethical concerns about trust and misuse.
A qualitative study suggests generative AI chatbots can provide emotional sanctuary, insightful guidance, and joy. Participants’ experiences highlight both potential benefits and limitations, including safety protocols and the lack of memory and depth.
A recent study found that AI fact-checking tools like ChatGPT often confuse readers by reducing trust in true headlines and increasing belief in false ones.
A recent study used machine learning to identify key brain regions and networks, like the amygdala and default mode network, that differentiate people with small animal phobia, advancing understanding of its neurological basis.
In a world shaped by artificial intelligence, human evolution may be subtly influenced by AI's integration into our physical, biological, and social environments, potentially altering traits like memory, social behavior, and intelligence.
Artificial intelligence can predict intelligence by analyzing brain connectivity. General intelligence was most accurately predicted, followed by crystallized and fluid intelligence, highlighting intelligence as a product of distributed brain networks rather than isolated regions.
Researchers developed a machine-learning system that detects ADHD with 95.5% accuracy using video analysis. It outperforms traditional methods, is cost-effective, but struggles with shorter videos and recognizing ADHD in females.