This study investigates the aesthetic experience and educational value of collaborative artmaking with generative artificial intelligence (AI) among young learners and art students. Based on a survey of 112 participants, we examine how human creators renegotiate their roles, how conventional notions of originality are challenged, how the creative process is transformed, and how aesthetic judgment is formed in human-AI co-creation. Empirically, participants generally view AI as a partner that stimulates ideation and expands creative boundaries rather than a passive tool, while simultaneously voicing concerns about stylistic homogenization and the erosion of traditional authorship. Theoretically, we synthesize Dewey's aesthetics of experience, Ihde's postphenomenology, and actor-network theory (ANT) into a single analytical framework to unpack the dynamics between human creators and AI as a non-human actant. Findings indicate (i) a fluid subjectivity in which creators shift across multiple stances (director, dialogic partner, discoverer); (ii) an iterative, dialogic workflow (intent-generate-select-refine) that centers critical interpretation; and (iii) an educational value shift from technical skill training toward higher-order competencies such as critical judgment, cross-modal ideation, and reflexivity. We argue that arts education should cultivate a critical co-creation stance toward technology, guiding learners to collaborate with AI while preserving human distinctiveness in concept formation, judgment, and meaning-making.

People in Texas sounded off on AI job displacement, with half of people who spoke to Fox News convinced that the tech will rob them of work. AUSTIN, Texas – Americans in the Lone Star State weighed in on job displacement from artificial intelligence, with several telling Fox News they believe their jobs would eventually be replaced. "A lot of coworkers or people that I know have been laid off at Indeed and things like that because they don't want to hire real people anymore," said Gabriel, who works in tech. "They would just rather do AI." Advances in AI could cause up to 300 million jobs to be lost or diminished globally, Goldman Sachs predicted in a March 26 report.

Texas residents share how familiar they are with artificial intelligence on a scale from one to 10 and detailed how much they use it each day. AUSTIN, Texas – Americans in the Lone Star state shared how familiar they are with artifical intelligence and how much they use the rapidly evolving technology. "I like to use ChatGPT just for stupid questions that I have or just to mess around or something like that," Gabriel, of Austin, told Fox News. AI has rapidly evolved in recent months, with tools like ChatGPT becoming more accessible and easier to use for the broader public. But the majority of people who spoke with Fox News said they didn't use AI technologies in their daily lives.

There once was a virtual assistant named Ms. Dewey, a comely librarian played by Janina Gavankar who assisted you with your inquiries on Microsoft's first attempt at a search engine. Ms. Dewey was launched in 2006, complete with over 600 lines of recorded dialog. She was ahead of her time in a few ways, but one particularly overlooked example was captured by information scholar Miriam Sweeney in her 2013 doctoral dissertation, where she detailed the gendered and racialized implications of Dewey's replies. That included lines like, "Hey, if you can get inside of your computer, you can do whatever you want to me." Or how searching for "blow jobs" caused a clip of her eating a banana to play, or inputting terms like "ghetto" made her perform a rap with lyrics including such gems as, "No, goldtooth, ghetto-fabulous mutha-fucker BEEP steps to this piece of [ass] BEEP."

Americans prefer a space program that focuses on potential asteroid impacts, scientific research and using robots to explore the cosmos over sending humans back to the moon or on to Mars, a poll shows. The poll by The Associated Press and the NORC Center for Public Affairs Research, released Thursday, one month before the 50th anniversary of the Apollo 11 moon landing, lists asteroid and comet monitoring as the No. 1 desired objective for the United States space program. About two-thirds of Americans call that very or extremely important, and about a combined 9 in 10 say it's at least moderately important. The poll comes as the White House pushes to get astronauts back on the moon, but only about a quarter of Americans said moon or Mars exploration by astronauts should be among the space program's highest priorities. About another third called each of those moderately important.

Algorithms based on machine learning and deep learning, intended for use in diagnostic imaging, are moving into the commercial pipeline. However, providers will have to overcome multiple challenges to incorporate these tools into daily clinical workflows in radiology. There now are numerous algorithms in various stages of development and in the FDA approval process, and experts believe that there could eventually be hundreds or even thousands of AI-based apps to improve the quality and efficiency of radiology. The emerging applications based on machine learning and deep learning primarily involve algorithms to automate such processes in radiology as detecting abnormal structures in images, such as cancerous lesions and nodules. The technology can be used on a variety of modalities, such as CT scans and X-rays.

There have been many kinds of books, with many kinds of meanings. This one book was special because it was the first fictional story produced via artificial intelligence. It was the first book in the sense that its contents made sense. Before this book, all other attempts of letting an AI write a book had produced things that were pastiches of randomness. A couples of sentences here and there surrounded by text that made no sense.

This article appears in the March/April 2007 issue of Technology Review. Last year, Eric Miller, an MIT-affiliated computer scientist, stood on a beach in southern France, watching the sun set, studying a document he'd printed earlier that afternoon. A March rain had begun to fall, and the ink was beginning to smear. Five years before, he'd agreed to lead a diverse group of researchers working on a project called the Semantic Web, which seeks to give computers the ability–the seeming intelligence–to understand content on the World Wide Web. At the time, he'd made a list of goals, a copy of which he now held in his hand. If he'd achieved those goals, his part of the job was done. Taking stock on the beach, he crossed off items one by one. The Semantic Web initiative's basic standards were in place; big companies were involved; startups were merging or being purchased; analysts and national and international newspapers, not just technical publications, were writing about the project. Only a single item remained: taking the technology mainstream.