An information scientist explains that while Google’s AI Overviews and other AI search tools may look enticing, you shouldn’t rely on them to fill all your search needs.
Academic rigor, journalistic flair
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AI has learned the ins and outs of proteins. Gene editing gives scientists control of life’s molecular machinery. Together they could lead to a revolution in biotechnology.
Americans associate with each other more online than off these days. How people interact in digital communities could have a big impact on democracy.
Human culture has changed too fast for evolution to keep up.
Beijing’s cyber operations are largely conducted in the shadows. But a recent leak has shed light on how the state is working with private companies to target online activism.
We now have the technology and knowledge to carry out real-time dream experiments with sleeping participants.
How much “customer interaction uncertainty” does your business deal with? The answer should guide your thinking about AI.
AIs that can see and hear have captured the public imagination. A machine learning expert explains why the sense of smell has lagged behind – and why that could change.
China and the US dominate AI and tech in terms of spending and business, but Europe has one very clear advantage.
Police can reconstruct someone’s movements for days or weeks at a time, without any court oversight.
A data privacy expert explains how machine learning algorithms draw inferences and how that leads to privacy concerns.
Scarlett Johansson said one of the five voices used for OpenAI’s new product sounded very like her.
The law forcing TikTok to be sold or banned is meant to protect Americans from Chinese government influence and privacy intrusions. But does it undermine a bedrock American principle?
People participate in online communities to share experiences and sympathy. AI chatbots that join the conversation can only pretend to offer either.
AI may shore up an industry experiencing economic headwinds. But in a field where professional ethics and public trust are particularly important, it’s a risky endeavor.
Solar storms can play havoc with electrical grids, satellites and railway lines.
Just as human biases show up in machine learning systems, so, too, do people’s vagaries and vicissitudes.
Technology is being used in schools without extensive research to show whether it has a positive impact.
The AI model can predict structures for a vast array of the proteins used by living organisms.
People are better able to see and correct biases in algorithms’ decisions than in their own decisions, even when algorithms are trained on their decisions.
Top contributors
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Professor of Information Systems, Michigan State University
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Researcher: Digital Literacy and Digital Wellbeing, Western Sydney University
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Professor of Advanced Technology Transitions, Arizona State University
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Professor of Philosophy and Director, Applied Ethics Center, UMass Boston
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Director, Center for National Security Initiatives, and Professor of Aerospace Engineering Sciences, University of Colorado Boulder
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Associate Professor of Information Science, University of Colorado Boulder
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Senior Lecturer in Economics, Lancaster University Management School, Lancaster University
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Principal Lecturer in Computer Science and Electrical Engineering, University of Maryland, Baltimore County
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Professor of AI, Research Group Leader, UNSW Sydney
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Adjunct Lecturer in Public Policy, Harvard Kennedy School
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Visiting Professor of Law, University of Richmond
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Professor of Cyber Security Practice, Edith Cowan University
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Associate Professor, Informatics and Operations, Kingston University
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Assistant Professor of Journalism and Emerging Media Studies, Boston University
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Professor of Practice, Associate Dean, Warwick Business School, University of Warwick
