Social media platforms need to open up data to Africans and researchers in the global south.
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Articles on Big tech
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The Department of Justice will have to prove that Apple’s ‘closed’ platforms have hurt rather than helped its customers.
New research by the Reuters Institute for the Study of Journalism about the effects of AI on news organisations reveals big challenges ahead.
Apple, Alphabet, Microsoft, Amazon, Meta, Tesla and Nvidia have driven a bull market rally in US stocks in 2023. But will they dominate in 2024?
If the CMA concludes the partnership is in fact a merger, it will start looking into whether this has reduced competition.
Traditional capitalists are still flourishing, but according to Yanis Varoufakis they are not driving the economy like they used to.
Laughter is one of the most ubiquitous and pleasurable things humans do, which is why companies online want to know what we find funny.
The iPhone already has an accelerometer, gyroscope, light meter, microphone, camera and GPS. Why does Apple now want you to tell it how you’re feeling?
The recent declines of Threads and ChatGPT attest to the reality that rapid and widespread acceptance doesn’t necessarily lead to long-term success.
It’s difficult to see how artificial intelligence systems work, and to see whose interests they work for. Regulation could make AI more trustworthy. Until then, user beware.
In the marketplace of ideas, for an app or product to be considered successful, it must be widely adopted for it to represent an innovation.
Australia’s law to force tech giants like Meta and Google to pay media organizations has not always meant better outcomes for journalism. Will the same happen in Canada?
Many point to Meta’s failings to make a case for mixed reality headsets having no future. But Apple’s approach is arguably much more strategic.
Social media algorithms can use millions of different parameters to decide what kind of content is shown to users.
As a society, everyone is motivated to regulate AI development. For individual companies, though, the opposite is true.
Generative AI is designed to produce the unforeseen, but that doesn’t mean developers can’t predict the types of social consequences it may cause.
Pausing AI development will give our governments and culture time to catch up with and steer the rush of new technology.
When OpenAI claims to be “developing technologies that empower everyone,” who is included in the term “everyone?” And in what context will this “power” be wielded?
The Online News Act could result in the formation of new agreements between news organizations and digital platform giants, which could give rise to a number of worrying developments.
Rather than seeing artificial intelligence as the cause of new problems, we might better understand AI ethics as bringing attention to old ones.
Top contributors
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Associate Professor, Faculty of Law & Justice, UNSW Sydney
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Professor of Cyber Security Practice, Edith Cowan 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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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Assistant Professor, Psychology, Concordia University
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Professor of English Language and Literature; University Research Chair & Founding Director, Critical Media Lab, University of Waterloo
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Lecturer in Digital Cultures, University of Sydney
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Dean of Global Business, The Fletcher School, Tufts University
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Fellow at the Center for Advanced Study in the Behavioral Sciences at Stanford and Professor of Management and Sociology, University of Michigan
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Distinguished Reserach Professor, Southern Centre for Inequality Studies, University of the Witwatersrand
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Senior Lecturer in Digital Cultures, SOAR Fellow., University of Sydney
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Professor of Management, University of Essex
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Associate Professor of Finance, UNSW Sydney
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Professor of Digital Communication, Queensland University of Technology
