From the University of Kansas press release:<\/p>\n
How likely you are to trust a self-driving car or advice from Siri?<\/p>\n
A University of Kansas interdisciplinary team led by relationship psychologist Omri Gillath has published a new paper in the journal\u00a0Computers in Human Behavior<\/em><\/strong>\u00a0showing people’s trust in artificial intelligence (AI) is tied to their relationship or attachment style<\/strong>.<\/p>\n
The research indicates for the first time that people who are anxious about their relationships with humans tend to have less trust in AI as well<\/strong>. Importantly, the research also suggests trust in artificial intelligence can be increased by reminding people of their secure relationships with other humans.<\/p>\n
Grand View Research estimated the global artificial-intelligence market at $39.9 billion in 2019, projected to expand at a compound annual growth rate of 42.2% from 2020 to 2027. However, lack of trust remains a key obstacle to adopting new artificial intelligence technologies.<\/p>\n
The new research by Gillath and colleagues suggests new ways to boost trust in artificial intelligence.<\/p>\n
In three studies, attachment style, thought to play a central role in romantic and parent-child relationships, was shown also to affect people’s trust in artificial intelligence. Some of the research’s key findings:<\/p>\n
People’s attachment anxiety predicts less trust in artificial intelligence.<\/strong><\/p>\n
Enhancing attachment anxiety reduced trust in artificial intelligence.<\/strong><\/p>\n
Conversely, enhancing attachment security increases trust in artificial intelligence.<\/strong><\/p>\n
These effects are unique to attachment security and were not found with exposure to positive affect cues.<\/p>\n
“Most research on trust in artificial intelligence focuses on cognitive ways to boost trust. Here we took a different approach by focusing on a ‘relational affective’ route to boost trust, seeing AI as a partner or a team member rather than a device,” said Gillath, professor of psychology at KU.<\/p>\n
“Finding associations between one’s attachment style — an individual difference representing the way people feel, think and behave in close relationships — and her trust in AI paves the way to new understandings and potentially new interventions to induce trust.”<\/p>\n
The research team includes investigators from a wide array of disciplines, including psychology, engineering, business and medicine. This interdisciplinary approach provides a new perspective on artificial intelligence, trust and associations with relational and affective factors.<\/p>\n
“The findings show you can predict and increase people’s trust levels in non-humans based on their early relationships with humans,” Gillath said. “This has the potential to improve adoption of new technologies and the integration of AI in the workplace.”<\/p><\/blockquote>\n","protected":false},"excerpt":{"rendered":"
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