Difference between revisions of "Remarkable Science: Exploring Our AI and Robot-Supported Future"
(Created page with ""Remarkable science: Exploring our AI and robot-supported future." Audio file, 55:21 in duration. ''On Point'', WBUR-FM. NPR show recorded 24 May 2022. As of 26 May 2022, avai...") |
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Smarter Health: AI, Machine Learning and the Future of Medicine | Smarter Health: AI, Machine Learning and the Future of Medicine | ||
| − | Starting May 27, On Point will launch a four-part series exploring how artificial intelligence and machine learning may revolutionize the health care industry. | + | Starting May 27, ''On Point'' will launch a four-part series exploring how artificial intelligence and machine learning may revolutionize the health care industry. |
Latest revision as of 22:19, 26 May 2022
"Remarkable science: Exploring our AI and robot-supported future." Audio file, 55:21 in duration. On Point, WBUR-FM. NPR show recorded 24 May 2022. As of 26 May 2022, available at link here.[1]
"This is the first installment of our series Remarkable Science, featuring conversations with scientists about their discoveries, recorded in front of an audience at WBUR’s CitySpace venue in Boston."
Significant for venue, less so the live audience than on a popular radio show for a relatively upscale and educated lay audience, but a general lay audience, not especially SF fans or other folk. NB: 13 May as "the Day of AI."
From the WBUR website linked above:
Life with robots once seemed possible only in science fiction.
But today, scientific advances in artificial intelligence and robotics have ensured that robots are a part of our everyday lives.
On May 13, the Day of AI, we brought together a panel of experts to talk about the future of human and animal interaction with artificial intelligence and robots. [...]
PanelistsDaniela Rus, professor of electrical engineering and computer science and director of the computer science and artificial intelligence laboratory at the Massachusetts Institute of Technology.
Merritt Moore, quantum physicist and professional ballerina.
Justin Werfel, senior research fellow and head of the Designing Emergence Laboratory, Harvard University School of Engineering and Applied Sciences.
"Interview Highlights" on cited page include clarifications of AI and/vs. robotics and machine learning, optimism vs. pessimism on such technology — including where robots might or might not be likely to replace human labor, and an important observation on our fearing that our IT may be or become too smart when we might need to fear trusting too much in technology less smart than we believe it is.
Page includes link to upcoming series:
Coming soon: A new series from On Point
Smarter Health: AI, Machine Learning and the Future of Medicine
Starting May 27, On Point will launch a four-part series exploring how artificial intelligence and machine learning may revolutionize the health care industry.
RDE, finishing, 26May22
