There are ways in which platform workers can resist the rise in job insecurity and poor working conditions brought on by digital labour platforms.
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Artículos sobre Algorithm
Mostrando 41 - 60 de 238 artículos
Behind the planning process sits an opaque system of automated decision-making. It rests on a generated plan, called a ‘typical support package’.
Online personalities like Andrew Tate are using social media to amplify their misogynist and anti-woman rhetoric. Social media companies deplatforming them can cut them off from followers and revenue.
Uber, Amazon and airlines are already using AI for classic managers’ tasks like hiring and firing staff.
Our research shows the technology simply isn’t ready yet.
Algorithms can help determine what farm inputs and policies can boost food production.
Drivers claim that algorithms are skewed against them on ride-hailing platforms.
When it comes to dealing with Uber’s difficult working conditions, Uber drivers are on their own.
The text-to-art program DALL-E 2 generates images from brief descriptions. But what does it mean to make art when an algorithm automates so much of the creative process itself?
Elon Musk said he wants to make Twitter a platform for free speech. Here is what research shows about claims of political bias and excessive moderation.
Elon Musk has an idea of what ails Twitter and what needs to be done to fix it. The problem is his assumptions are wrong.
Investors are happy, pushing the share price up since the announcement. What about users?
A cornerstone of the First Step Act, passed with bipartisan support, is the PATTERN risk-assessment tool.
In a joint project with the BBC, we’re exploring how AI could personalise the way you consume media. But we recognise that AI comes with risks too.
Record-breaking technology can sequence an entire human genome in a matter of hours. The work could be a lifeline for people suffering from the more than 5,000 known rare genetic diseases.
Social media platforms have enabled wildlife traders to connect as never before. Some operate legally, within the boundaries of international laws. Others are less scrupulous.
Can translation software that uses artificial intelligence to automatically translate texts ever replace human beings?
The increasing use of artificial intelligence and machine learning in public decision making is raising critical issues around fairness and human rights.
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.
Mass data collection and surveillance have become ubiquitous. For marginalized communities, the stakes of having their privacy violated are high.
Principales colaboradores
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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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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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Senior research associate, University of Sydney
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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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Assistant Professor, Department of Biology, University of Fribourg
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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 Law and Technology, La Trobe University, Victoria University
