Is there a robot nanny in your child's future?

Is there a robot nanny in your child's future?

Some researchers argue that active, playful engagement with a "robot nanny" for a few hours a day is better than several hours in front of a TV or with an iPad.

Andy Kelly

From ROBOTS AND THE PEOPLE WHO LOVE THEM: Holding on to Our Humanity in an Age of Social Robots by Eve Herold. Copyright © 2024 by the author and reprinted by permission of St. Martin’s Publishing Group.

Could the use of robots take some of the workload off teachers, add engagement among students, and ultimately invigorate learning by taking it to a new level that is more consonant with the everyday experiences of young people? Do robots have the potential to become full-fledged educators and further push human teachers out of the profession? The preponderance of opinion on this subject is that, just as AI and medical technology are not going to eliminate doctors, robot teachers will never replace human teachers. Rather, they will change the job of teaching.

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Eve Herold
Eve Herold is an award-winning science writer and consultant in the scientific and medical nonprofit space. A longtime communications and policy executive for scientific organizations, she currently serves as Director of Policy Research and Education for the Healthspan Action Coalition. She has written extensively about issues at the crossroads of science and society, including regenerative medicine, aging and longevity, medical implants, transhumanism, robotics and AI, and bioethical issues in leading-edge medicine. Her books include Stem Cell Wars and Beyond Human, and her latest book, Robots and the People Who Love Them, will be released in January 2024. Her work has appeared in Vice, Medium, The Washington Post and the Boston Globe, among others. She’s a frequent contributor to Leaps.org and is the recipient of the 2019 Arlene Eisenberg Award from the American Society of Journalists and Authors.
Researchers probe extreme gene therapy for severe alcoholism

When all traditional therapeutic approaches fail for alcohol abuse disorder, a radical gene therapy might be something to try in the future.

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Story by Freethink

A single shot — a gene therapy injected into the brain — dramatically reduced alcohol consumption in monkeys that previously drank heavily. If the therapy is safe and effective in people, it might one day be a permanent treatment for alcoholism for people with no other options.

The challenge: Alcohol use disorder (AUD) means a person has trouble controlling their alcohol consumption, even when it is negatively affecting their life, job, or health.

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Kristin Houser
Kristin Houser is a staff writer at Freethink, where she covers science and tech. Her written work has appeared in Business Insider, NBC News, and the World Economic Forum’s Agenda, among other publications, and Stephen Colbert once talked about a piece on The Late Show, to her delight. Formerly, Kristin was a staff writer for Futurism and wrote several animated and live action web series.
Massive benefits of AI come with environmental and human costs. Can AI itself be part of the solution?

Generative AI has a large carbon footprint and other drawbacks. But AI can help mitigate its own harms—by plowing through mountains of data on extreme weather and human displacement.

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The recent explosion of generative artificial intelligence tools like ChatGPT and Dall-E enabled anyone with internet access to harness AI’s power for enhanced productivity, creativity, and problem-solving. With their ever-improving capabilities and expanding user base, these tools proved useful across disciplines, from the creative to the scientific.

But beneath the technological wonders of human-like conversation and creative expression lies a dirty secret—an alarming environmental and human cost. AI has an immense carbon footprint. Systems like ChatGPT take months to train in high-powered data centers, which demand huge amounts of electricity, much of which is still generated with fossil fuels, as well as water for cooling. “One of the reasons why Open AI needs investments [to the tune of] $10 billion from Microsoft is because they need to pay for all of that computation,” says Kentaro Toyama, a computer scientist at the University of Michigan. There’s also an ecological toll from mining rare minerals required for hardware and infrastructure. This environmental exploitation pollutes land, triggers natural disasters and causes large-scale human displacement. Finally, for data labeling needed to train and correct AI algorithms, the Big Data industry employs cheap and exploitative labor, often from the Global South.

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Payal Dhar
Payal is a writer based in New Delhi who has been covering science, technology, and society since 1998.