Google’s algorithms reflect bias against members of racialized and gendered groups.
L’expertise universitaire, l’exigence journalistique
Articles sur Algorithm
Affichage de 141 à 160 de 245 articles
Technology experts have long worried about a ‘digital divide’ between those who could use computers and those who could not. Artificial intelligence algorithms are widening the gulf.
To multiply two numbers by hand take a few steps but it’s something we’re taught in school. When dealing with big numbers, really big numbers, we need to a quicker way to do things.
It’s time for social media platforms to be more open about how livestreaming works, how it is moderated, and what should happen if or when the rules break down.
From the law to the media we’re becoming artificial humans, mere tools of the machines.
When algorithms are at work, there should be a human safety net to prevent harming people. Artificial intelligence systems can be taught to ask for help.
Algorithmic guardians could be programmed to manage our digital interactions with social platforms and apps according to our personal preferences.
Algorithms used by social media networks expose users to divisive content separating them into bubbles. But the ways in which they are trained amplifies the effects of the filter bubble.
An ethicist on why fixing algorithms may not be the best response to algorithmic bias.
Beware of the blind use of artificial intelligence: used as a “magic wand”, for example in an autonomous car, it presents risks.
What do the Carlos Ghosn scandal, the rising power of algorithms and the “gilets jaunes” have in common? The need to extend the spatial and temporal definitions of responsibility.
It’s easier to make the list than you might think.
Expecting algorithms to perform perfectly might be asking too much of ourselves.
New research suggests media organisations that rely on Facebook to build audience are trapped in an attention economy that delivers traffic but no money.
It might look like an unfinished piece but it’s the work of artificial intelligence, the first artwork of its kind to be sold at auction.
An algorithm based on commuting patterns makes new ‘Greater Glasgow’ the biggest local authority in the UK.
If you check a website multiple times for a flight on a specific date, the seller might assume this is the only date you’re interested in and increase the price on offer.
A legal loophole could grant computer systems many legal rights people have – threatening human rights and dignity and setting up some real legal and moral problems.
Automated portfolio-allocation software can provide financial planning services that meet clients’ financial situations and future goals. But can it help investors make more rational decisions?
Technology can transgress all kinds of legal frameworks.
Les contributeurs les plus fréquents
-
Professor of Informatics and Computer Science, Indiana University
-
Professor of Information Systems, Michigan State University
-
Senior research associate, University of Sydney
-
Professor of Data Science; Director, Adelaide Data Science Centre, University of Adelaide
-
Professor in Business Information Systems, University of Sydney
-
University of Hertfordshire
-
Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
-
Head of Art and Design, University of Hertfordshire
-
Lecturer in Computer Science/Co-founder Women Leading in AI, Keele University
-
Professor, Real Estate, Université du Québec à Montréal (UQAM)
-
Senior Lecturer of Marketing, Swinburne University of Technology
-
Associate Professor of Computer Engineering and Computer Science, University of Louisville
-
Associate Professor
-
Professor of Computer Science, Rensselaer Polytechnic Institute
-
Assistant Professor, Department of Biology, University of Fribourg
