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...
Read moreDetailsNew 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...
Read moreDetailsA 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...
Read moreDetailsA 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...
Read moreDetailsThe 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...
Read moreDetailsNew 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...
Read moreDetailsA 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...
Read moreDetailsAnalyzing 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...
Read moreDetailsA recent study challenges the belief that intelligent people think faster, finding that individuals with higher problem-solving abilities actually took more time to solve difficult tasks compared to those with lower abilities. The research suggests that synchronization between brain regions...
Read moreDetailsA series of psychological experiments has shown that people's treatment of machines differs from their treatment of humans, which influences the establishment of trust within human-machine collectives. The new findings provide insights into the dynamics of human-bot interactions and have...
Read moreDetailsNew research sheds light on the attitudes of healthcare professionals towards AI-led interventions and identifies potential barriers to the implementation of AI in the field of sexual and reproductive health services. While there was recognition of the potential benefits of...
Read moreDetailsIncreasingly, social robots are being used for support in educational contexts. But does the sound of a social robot affect how well they perform, especially when dealing with teams of humans? Teamwork is a key factor in human creativity, boosting collaboration and...
Read moreDetailsNew research sheds light on how much people conform to information given by a human compared to information given by an artificial intelligence (AI) agent. Results showed that participants conformed more to information given by an AI in counting tasks...
Read moreDetailsA recent study examined how social anxiety, loneliness, and rumination contribute to the problematic use of conversational artificial intelligence agents. Results showed that persons high in social anxiety are more likely to feel lonely and engage in ruminative thought patterns....
Read moreDetailsA new study in Denmark used machine learning techniques on photographs of faces of Danish politicians to predict whether their political ideology is left- or right-wing. The accuracy of predictions was 61%. Faces of right-wing politicians were more likely to...
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