Hollywood has been using artificial intelligence for 20 years. But the current actors’ and writers’ strikes are specifically concerned about generative AI.
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Articles on Artificial intelligence (AI)
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AI has been criticised for containing inherent biases, but if used in the right way it could make hiring fairer.
AI might not yet be able to create leading performances from an actor’s likeness but the jobs of those in the background are far less safe.
ChatGPT can be very useful – if you shift how you view it. The first step is to stop thinking of it as a chatty search engine.
Politicians and their campaigns use a lot of methods, including manipulation and deception, to persuade you to vote for them and give them money. AI promises to make those attempts more effective.
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.
Creating bias-free AI systems is easier said than done. A computer scientist explains how controlling bias could lead to fairer AI.
In a preprint study, researchers estimate training the model behind ChatGPT would have required somewhere between 210,000 and 700,000 litres of water.
The Federal Trade Commission’s investigation of ChatGPT maker OpenAI shows that the US government is beginning to get serious about regulating AI.
The Hollywood actors’ strike is a watershed moment for the entertainment industry, marking a turning point for the future of labour in the arts.
Some of the ways that streaming has transformed the industry are jeopardizing actors’ livelihoods.
AI can manipulate a real event or invent one from thin air to create a ‘situation deepfake.’ These deepfakes threaten to influence upcoming elections, but you can still protect your vote.
Some countries no longer require you to remove your shoes when passing through security – but taking out your laptop is still mostly required.
New AI exhibit asks visitors whether they would trust an AI robot to look after their pets.
AI can generate a synthetic voice that sounds just like a loved one.
Is it possible to ‘align’ AI systems to human interest? A new plan to build an AI system to solve this problem highlights the limits of the idea.
We need to be mindful of the potential short- and medium-term risks of AI.
Countries are already looking at using AI for some court case judgments.
If you haven’t seen Stanley Kubrick’s 1968 sci-fi classic, then it’s likely you will have seen other films influenced by it.
Regardless of the input, AI image generators will have a tendency to return certain kinds of results. This is where the potential for bias arises.
Top contributors
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Professor of AI, Research Group Leader, UNSW Sydney
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Senior Lecturer in Applied Ethics & CyberSecurity, Griffith University
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Professor in Robotics, Queensland University of Technology
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Professor of Information Systems, Michigan State University
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PhD in machine ethics, University of Canterbury
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Assistant Professor of Integrative Biology & Computer Science and Engineering, Michigan State University
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Professor, Queensland University of Technology
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Assistant Professor, Psychology, Concordia University
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Lecturer in Business Analytics, University of Sydney
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Professor of Computer Science and Director of the Art & AI Lab, Rutgers University
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Senior Lecturer in Visual Communication & Digital Media, RMIT University
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James Martin Research Fellow, Future of Humanity Institute & Oxford Martin School, University of Oxford
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Research Assistant Professor of Industrial & Systems Engineering, University of Southern California
