Automation risks making work environments less hospitable to the people who remain.
IBM executive Christina Montgomery, cognitive scientist Gary Marcus and OpenAI CEO Sam Altman prepared to testify before a Senate Judiciary subcommittee.
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Figuring out how to regulate AI is a difficult challenge, and that’s even before tackling the problem of the small number of big companies that control the technology.
BT’s transition from copper wiring to fibre-optic cabling is now reaching its end.
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Quantum machine learning models could help us create AI systems that are almost impenetrable by hackers. But in the hands of hackers, the same technology could wreak havoc.
AI systems are likely to find quick traction as assistants to humans.
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Companies that want to avoid the harms of AI, such as bias or privacy violations, lack clear-cut guidelines on how to act responsibly. That makes internal management and decision-making critical.
In this podcast, Labor MP Julian Hill joins Michelle Grattan to discuss the job market and getting people into work, artificial intelligence, Julian Assange, and TikTok.
Generative AIs may make up information they serve you, meaning they may potentially spread science misinformation. Here’s how to check the accuracy of what you read in an AI-enhanced media landscape.
AI chatbots and image generators run on thousands of computers housed in data centers like this Google facility in Oregon.
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Generative AI, those astonishingly powerful language- and image-generating tools taking the world by storm, come at a price: a big carbon footprint. But not all AIs are equally dirty.
Language arts students can program chatbots for literary characters.
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Twitter uses an AI-powered centrally managed algorithm to moderate what you see. On Bluesky, you have control over the algorithm that selects what you see through so-called ‘composable moderation’.
Metaphorical black boxes shield the inner workings of AIs, which protect software developers’ intellectual property. They also make it hard to understand how the AIs work – and why things go wrong.
Wall Street’s history of embracing high-speed algorithmic trading suggests ChatGPT will pose similar – if bigger – risks to financial markets.
Students who lack access to computers or a reliable internet connection may not be able to take advantage of digital tools like chatbots.
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