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Measuring Trust in Artificial Intelligence (AI)

#artificialintelligence

Researchers find public trust in AI varies greatly depending on the application. Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics.


Researchers find public trust in AI varies greatly depending on the application

#artificialintelligence

Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics. AI in particular exemplifies this as it has become so pervasive in everyday life for so many, seemingly overnight.


Artificial Intelligence (AI) Trust Measurement » Brinkwire

#artificialintelligence

Public trust in AI varies greatly depending on the application, according to researchers. The rise of artificial intelligence (AI) in society prompted University of Tokyo researchers to investigate public attitudes toward AI ethics. Their findings quantify how different demographics and ethical scenarios influence these attitudes. The team developed an octagonal visual metric, similar to a rating system, as part of this research, which could be useful to AI researchers who want to know how their work is perceived by the general public. Many people believe that technology's rapid advancement outpaces that of the social structures that implicitly guide and regulate it, such as law and ethics.


Measuring Trust in Artificial Intelligence (AI)

#artificialintelligence

Prompted by the increasing prominence of artificial intelligence (AI) in society, University of Tokyo researchers investigated public attitudes toward the ethics of AI. Their findings quantify how different demographics and ethical scenarios affect these attitudes. As part of this study, the team developed an octagonal visual metric, analogous to a rating system, which could be useful to AI researchers who wish to know how their work may be perceived by the public. Many people feel the rapid development of technology often outpaces that of the social structures that implicitly guide and regulate it, such as law or ethics. AI in particular exemplifies this as it has become so pervasive in everyday life for so many, seemingly overnight.


Data reveals people do not trust AI weapons

#artificialintelligence

New Tokyo based research finds that public trust in AI varies widely depending on the person and application. Researchers at the University of Tokyo have shown how different demographics and ethical scenarios affect attitudes towards artificial intelligence. The complexity of Artificial Intelligence compared to more familiar technology can seem frightening, unfamiliar technology can breed fear and mistrust. Technology progresses at such a rapid pace that it threatens to move past the laws put in place to regulate it therefore for the study, the team developed an octagonal visual metric similar to that of a rating system, in order to fully understand the intricacies of public opinion on the safety of AI. There were two questions the team sought to answer through their surveys: how attitudes change depending on the scenario presented to a respondent, and how the demographic of the respondent themselves changed attitudes.