A report calls for banning the use of emotion recognition technology. An AI and computer vision researcher explains the potential and why there’s growing concern.
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Articles on Algorithm
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A machine learning expert predicts a new balance between human and machine intelligence is on the horizon. For that to be good news, researchers need to figure out how to design algorithms that are fair.
An AI trained to look at heart scans was able to successfully predict risk of death. But one expert cautions we still need to be careful about designing – and using – AI for medical diagnosis.
Personal data is valued primarily because data can be turned into a private asset. That has significant implications for political and societal choices.
Some initiatives aim to develop more ethical and equitable models.
Algorithms can amplify toxic content, but the problems start in human communities.
Of the countries we looked at, all have seen an increase in subjective happiness since the 1970s.
The fundamental problem with AI is it is often riddled with society’s existing biases and prejudices.
A key element of the battle between truth and propaganda has nothing to do with technology. It has to do with how people are much more likely to accept something if it confirms their beliefs.
Artificial intelligence holds great promise for medicine, but safeguards are needed to ensure it does not harm patients.
Mathematician Hannah Fry has called for tech and data scientists to make an ethical pledge, as medical doctors do. But the same result might be delivered by simply asking people to mind their bias.
A new test which capitalises on existing knowledge and technology will increase diagnoses, speed up the process and save the NHS millions of pounds.
Using machine learning and natural language processing, researchers are developing an algorithm that can distinguish between real and fake news articles.
Algorithms are only human (well, designed by humans) but we need to trust they’ll do what they’re supposed to do. And that means we need a better way to test them.
Instead of trying to explain the mystifying mathematics behind how algorithms work, this researcher started looking at how they actually ‘see’ the world we live in.
A new legal framework for automated decision making is critical to protect citizens in the digital age.
Online gambling algorithims and blurred lines on what constitutes an advert on social media mean advertising principles are being flouted.
People know about Facebook’s problems, but assume they are largely immune – even while they imagine that everyone else is very susceptible to influence.
People could be asked to prove their identity to continuing posting political content or adverts on Facebook.
Google’s algorithms reflect bias against members of racialized and gendered groups.
Top contributors
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Professor of Informatics and Computer Science, Indiana University
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Professor of Information Systems, Michigan State University
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Senior research associate, University of Sydney
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Professor of Data Science, University of Adelaide
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Professor in Business Information Systems, University of Sydney
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University of Hertfordshire
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Head of Art and Design, University of Hertfordshire
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Lecturer in Computer Science/Co-founder Women Leading in AI, Keele University
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Professor, Real Estate, Université du Québec à Montréal (UQAM)
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Senior Lecturer of Marketing, Swinburne University of Technology
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Associate Professor of Computer Engineering and Computer Science, University of Louisville
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Associate Professor
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Professor of Computer Science, Rensselaer Polytechnic Institute
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Assistant Professor, Department of Biology, University of Fribourg
