From the law to the media we’re becoming artificial humans, mere tools of the machines.
L’expertise universitaire, l’exigence journalistique
Articles sur Algorithm
Affichage de 141 à 160 de 241 articles
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.
AI can definitely help us monitor floods and could perhaps even deliver more accurate early-warning messages in the near future.
The Achilles’ heel of law technologies: training. Only 10% of such initiatives are aimed at law students, so how should this issue be managed to win the AI race?
As Google turns 20, a look at how the company has grown – and what the next two decades might bring for the company.
Large-scale data collection and analysis can target consumer behaviour. Faced with the risk of drifts, transparency and ethics of algorithms become paramount.
Les contributeurs les plus fréquents
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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
