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Technion Study Finds Warmth of AI Systems More Important Than Capability


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Artist's conception of artificial intelligence.

Study participants preferred artificial intelligence systems that could demonstrate friendliness, helpfulness, sincerity, trustworthiness, or morality.

Credit: INGIMAGE

A study by researchers at the Technion – Israel Institute of Technology found that potential users of artificial intelligence (AI) systems consider such systems’ “warmth” more important than capability and competence.

The study of more than 1,600 participants defined warmth as related to traits indicating the AI system's perceived intent, such as friendliness, helpfulness, sincerity, trustworthiness, and morality.

The researchers found participants preferred “warm” AI systems built for the consumer that use algorithms trained on less data, over systems built for the producer that use state-of-the-art artificial neural network algorithms.

The researchers looked at navigation apps, search engines, and recommender systems, in contrast to prior research that focused on virtual agents or robots.

From The Jerusalem Post
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Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA


 

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