A cornerstone of the First Step Act, passed with bipartisan support, is the PATTERN risk-assessment tool.
Articles on Algorithmic bias
Displaying 41 - 60 of 83 articles
There are around 201 known factors on which a website is analysed and ranked by Google’s algorithms.
Artificial intelligence is emerging as a key cybersecurity tool for both attackers and defenders.
Disinformation, algorithms, big data, care work, climate change, and cultural knowledge can all be invisible. This exhibition brings them to the light.
Misinformation will continue to strain society in 2022 as the lines between misinformation and political speech blur, cynicism grows and the lack of regulation allows misinformation to flourish.
Can translation software that uses artificial intelligence to automatically translate texts ever replace human beings?
Sci-fi nightmares of a robot apocalypse aside, autonomous weapons are a very real threat to humanity. An expert on the weapons explains how the emerging arms race could be humanity’s last.
Inclusivity and diversity also need to be at the level of identifying values and defining frameworks of what counts as ethical AI in the first place.
A UK controversy about school leavers’ marks shows algorithms can get things wrong. To ensure algorithms are as fair as possible, how they work and the trade-offs involved must be made clear.
Breathless headlines of artificial intelligence discovering or restoring lost works of art ignore the fact that these machines rarely, if ever, reveal one secret or solve a single mystery.
As the perils and wonders of artificial intelligence begin to permeate our lives, the ‘IPCC report for AI’ calls for action from researchers and government to ensure a safe future.
Sci-fi nightmares of a robot apocalypse aside, autonomous weapons are a very real threat to humanity. An expert on the weapons explains how the emerging arms race could be humanity’s last.
Plans have been made for the AI-based program to begin trials before the year ends. But it raises serious questions about the role of police in preventing domestic violence.
Undergraduate programs are springing up across the US to meet the burgeoning demand for workers trained in big data. Yet many of the programs lack training in the ethical use of data science.
Politicians of all stripes, computer professionals and even big-tech executives are calling on government to hit the brakes on using these algorithms. The feds are hitting the gas.
A civil rights group is suing Facebook for its failure to stop the spread of anti-Muslim hate speech on the platform.
The Federal Trade Commission is rattling its saber at the technology industry over growing public concern about biased AI algorithms. Can the agency back up its threats?
Music recommendation algorithms are more likely to suggest music by male than female artists.
Search engines, like social media algorithms, get you to click on links by learning what other people click on. Enticing misinformation often comes out on top.
Some AI systems make faulty assumptions about women and nonwhite men, which can lead to misdiagnoses. Overcoming this bias takes legal, regulatory and technical fixes.
Top contributors
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Professor of Information Systems, Michigan State University
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Professor of Information Science, University of Washington
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Professor of Informatics and Computer Science, Indiana University
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Professor of English, Macalester College
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Senior lecturer in Law, Brunel University of London
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Assistant Professor of Communication, University of Arizona
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Adjunct Associate Professor, School of Social Sciences, Linguistics, The University of Western Australia
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Postdoctoral Researcher in Data Science, University of Oxford
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Kyle Webster has just completed an internship in the Office of the Prime Minister’s Chief Science Advisor, focussing on Artificial Intelligence. , University of Auckland, Waipapa Taumata Rau
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Senior Lecturer in Philosophy, University of the Witwatersrand
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Associate Professor of Industrial & Manufacturing Engineering and Computer Science & Engineering, Penn State
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Senior Research Fellow, Applied Ethics Center, UMass Boston
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Ph.D. Student in Linguistics & Germanic, Slavic, Asian and African Languages, Michigan State University
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Professor, Real Estate, Université du Québec à Montréal (UQAM)
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Professor of Information Technology and Organisation, University of Sydney