Artificial Intelligence

A new online experimental study examined how individuals perceive AI- and human-made art created to incite emotions. The results indicated that people attributed intentions and emotions to the creator of the artwork, regardless of whether it was produced by artificial...

A recent study showcased that while individuals attribute responsibility to AI assistants in driving scenarios, they predominantly regard these AI systems as simple tools, not morally accountable agents. This highlights a contradictory perception where AI is both held accountable for...

In a new study published in the journal Social Neuroscience, researchers employed machine learning techniques to predict individual differences in narcissistic personality traits using distinct structural brain features. The study represents the first-ever attempt to harness machine learning for deciphering...

Scientists recently found that personal connection or self-relevance in art significantly influences an individual's perception of its aesthetic appeal. Using generative AI, the study demonstrated that when artworks resonate with one's self-perception, experiences, and identity, they are perceived as more...

People often express higher support for using AI-enabled technologies than their trust in the same technologies, particularly in domains like police surveillance, according to new research published in PLOS One. The findings indicate that factors such as perceptions of AI's...

A recent study from Duke University showed that people tend to favor artworks labeled as "human-created" over those marked as "AI-created," revealing the significant role narratives and perceived effort play in artwork judgments. The research highlighted that although AI-generated pieces...

A new study found that ChatGPT, an increasingly popular AI chatbot capable of natural language processing, greatly outperformed humans in emotional awareness tasks in a set of fictional textual scenarios. It was much better than typical people at estimating the...

Researchers from the Tokyo University of Science have successfully utilized machine learning to detect deception, achieving an accuracy of up to 87% by analyzing facial expressions and pulse rates. Despite promising results, the study emphasizes the need for a larger...

New research published in Telematics and Informatics provides evidence that the fulfillment of basic psychological needs through technology use is linked to changes in attitudes towards artificial intelligence over time. The findings indicate that self-determination, particularly feelings of competence and...

A new study suggests that OpenAI's GPT-3 can both inform and disinform more effectively than real people on social media. The research, published in Science Advances, also highlights the challenges of identifying synthetic (AI-generated) information, as GPT-3 can mimic human...

A team of scientists recently found they could predict which songs would become popular hits by measuring people's brain activity while they listened to music and then analyzing the data using artificial intelligence. The models based on neurophysiologic measures provided...

The launch of powerful large language models like GPT-3.5 generated excitement, but users have become less trusting as they discovered the models can make mistakes. Researchers are now focused on minimizing these errors, highlighting the need to reflect on our...

New research from Google DeepMind suggests that using the veil of ignorance concept can be valuable in shaping governance principles for artificial intelligence (AI). The study found that decision-makers, when placed behind the veil of ignorance, tended to prioritize fairness...

A recent study from China found that people have varying opinions about the morality of decisions made by artificial intelligence (AI) agents, depending on the situation. Participants rated AI decisions as more immoral than those made by humans in certain...

Analyzing social media activity can help predict whether individuals will continue their treatment for substance use disorder. Using artificial intelligence to analyze Facebook posts proved more effective than standard psychological tests in predicting treatment dropout, with high-risk individuals more likely...