Media companies should set up guidelines for how they are using AI.
Articles on Trust
Displaying 61 - 80 of 250 articles
Conversations about scientific research and technological innovations allow the public to build trust with experts, and understand the impacts on everyday lives.
Big data is not the answer to all the challenges that faced Census 2022, but it may be a key enabler for gathering reliable national data in the future.
To build trust with an audience, scientists must demonstrate that they are competent experts. But they must also come across as warm, caring and human.
People can trust each other because they understand how the human mind works, can predict people’s behavior, and assume that most people have a moral sense. None of these things are true of AI.
The challenges facing South African judges have been well documented for decades. They include the high number of unfilled vacancies and poor working conditions.
During the pandemic, it was common for politicians to explain their COVID-19 policies by saying they were ‘just following the science.’ Such claims can be misleading about both science and government.
It’s difficult to see how artificial intelligence systems work, and to see whose interests they work for. Regulation could make AI more trustworthy. Until then, user beware.
Sierra Leone needs to rebuild public trust in its election by maintaining a completely transparent process.
Biobanks collect and store large amounts of data that researchers use to conduct a wide range of studies. Making sure participants understand what they’re getting into can help build trust in science.
A new study of digital news consumption shows Canadians are avoiding the news more and trusting it less —especially in English Canada.
There are many uses for digital systems that are not centrally controlled and that allow large numbers of people to participate securely, even if they don’t all know and trust each other.
Canada’s police services are becoming increasingly militarized. This undermines the fundamental aims of policing and fosters public distrust of police.
Generative AIs may make up information they serve you, meaning they may potentially spread science misinformation. Here’s how to check the accuracy of what you read in an AI-enhanced media landscape.
Trust between colleagues and with managers can make it easier to work together.
The user interfaces of AI chatbots, like ChatGPT, are designed to mimic natural human conversation. But in doing so, AI chatbots present as more trustworthy than they really are.
People tend not to think that their own emotions could simply be wrong. But research shows that people excessively dislike others who disagree with them.
AI chatbots can’t take responsibility for what they say, so we shouldn’t trust them.
We often assume misinformation leads to bad beliefs which lead to antisocial behaviour. But there’s so far little evidence for this.
Psychopaths have thrived for so long because of their deceptive powers.
Top contributors
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Professorial Fellow, University of Canberra
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Adjunct professor, Charles Sturt University
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Senior lecturer, University of Canberra
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Director of the Center for Trust Studies, Professor of Management and Organizations, University of Arizona
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Professor of Political Communication; Director CAJ, The University of Melbourne
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Chair in Trust, Professor of Management, The University of Melbourne; Melbourne Business School
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Dean of Global Business, The Fletcher School, Tufts University
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Chair in Governance, University of Southampton
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Professor of Public Relations, Michigan State University
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Director, Vice-Chancellor's Centre of Public Ideas (CoPI) and Donald Horne Professor of History and Public Ideas, University of Canberra
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Assistant Professor of Political Science, Iowa State University
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RBC Professor in Responsible Organizations and Full Professor, Concordia University
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Associate Professor of Management, York University, Canada
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York Research Chair and Associate Professor, York University, Canada
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Professor in Psychology, Keele University