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AI and the Body: A discussion on artificial intelligence in professional industries

rewrite this title in other words: AI and the Body: A discussion on artificial intelligence in professional industries – in Etokom

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Following the rise in artificial intelligence, questions and concerns have emerged about its use at Elon University. The school has implemented policies regarding the use of AI within the classroom and university operations, many of which include using AI as a tool in learning and staying within the ethical bounds of AI use. The AI ​​that these policies most often refer to addresses generative AI.
Despite the recent upheaval in AI in headlines, orbit, and search history, artificial intelligence is much broader than ChatGPIT, Gemini, or other commonly used open source AI. The AI ​​and the Body panel on March 3 discussed the wide range of ways Elon faculty are using AI in their businesses.

Shannon Duvall, professor of computer science and interim associate dean in the College of Arts and Sciences, said she hopes the panel can focus on experts at Elon who can introduce people to AI in a variety of disciplines.

This panel is the first of a three-part AI panel series hosted by the Elon College of Arts & Sciences. All panels will take place on April 7 from 4:15-5:30 pm in McMichael 115, AI & Creativity, with the series concluding on May 5 with AI & Culture.
AI and the Body panelists included Duvall, Bill Evans, assistant professor of exercise science, and Antoinette Polito, associate professor of physician assistant studies. The panel was moderated by junior computer science major Safi Hollingsworth.
Junior computer science major and moderator Safi Hollingsworth began by expanding on the current popular definition of AI, noting that while AI in the computer science industry has existed since the 70s, it hasn’t always meant big language models.

Panelists addressed the misconceptions that surround AI. Evans identified AI as a tool to increase productivity, using the calculator as a metaphor.

“The notion that that would make us stupid or lazy, I get that and I think that’s a legitimate concern,” Evans said. “Think about calculators, I’m sure people were like, ‘We’re going to lose the ability to do arithmetic.'”
Polito expressed different concerns about AI and called its ability to learn a key differentiator to older technology. Radiologists and pathologists are two fields that Polito mentioned that AI could take over. Still, Polito said AI could have a good impact on the health sector, with hopes of increasing access and decreasing costs.
For Duvall, AI has already increased the reach of her research. Duvall’s research uses pattern recognition to see when people with emotional dysregulation are likely to explode and initiate preventive measures before that happens, such as dimming lights from a distance or playing calming music.
The 3D body tracking information it previously gathered with sensors can now be gathered with a single webcam. Duvall’s current work involves modernizing technology to achieve the same goals as before.
“It still blows my mind. How do you get 3D information from a camera?” Duvall said. “If you can just do it on your phone, well, it’s even more accessible.”
AI has also been used when processing data. Evans noted that in the past, data sets were more often analyzed individually. Evans’ research covers a wide range of physiology topics, from the effects of prolonged sitting on blood vessels to cell functions.
“You have all this complex data that has different characteristics,” Evans said, “but with AI we are now able to take all that data and find ways to better merge it so that we can do complex analyzes that really complement each other.”
Although Evans credits AI for improving the rate of data interpretation, he stressed the importance of understanding the data and the field in which it works to be able to progress in your research, a sentiment with which all the panelists agreed.
Despite the debate about AI, its positives and negatives, the panelists agreed on the importance of the human element and human learning. Duvall said the reduction in entry-level jobs could result in a struggle to find senior engineers in the future.
“You don’t magically make the leap from novice to expert. You have to struggle to get to expert status, and AI is certainly not an expert,” Duvall said.
Evans said that humans’ ability to entertain and communicate cannot be replicated by technology, and Polito agreed. Along with Polito’s concerns about the integration of AI into the medical field, he saw empathy as an important skill for entering the job force.
“In health care, what we need is empathy and compassion,” Polito said. “Maybe machines can do other work.

Following the rise in artificial intelligence, questions and concerns have emerged about its use at Elon University. The school has implemented policies regarding the use of AI within the classroom and university operations, many of which include using AI as a tool in learning and staying within the ethical bounds of AI use. The AI ​​that these policies most often refer to addresses generative AI.

Despite the recent upheaval in AI in headlines, orbit, and search history, artificial intelligence is much broader than ChatGPIT, Gemini, or other commonly used open source AI. The AI ​​and the Body panel on March 3 discussed the wide range of ways Elon faculty are using AI in their businesses.

Shannon Duvall, professor of computer science and interim associate dean in the College of Arts and Sciences, said she hopes the panel can focus on experts at Elon who can introduce people to AI in a variety of disciplines.

This panel is the first of a three-part AI panel series hosted by the Elon College of Arts & Sciences. All panels will take place on April 7 from 4:15-5:30 pm in McMichael 115, AI & Creativity, with the series concluding on May 5 with AI & Culture.

AI and the Body panelists included Duvall, Bill Evans, assistant professor of exercise science, and Antoinette Polito, associate professor of physician assistant studies. The panel was moderated by junior computer science major Safi Hollingsworth.

Junior computer science major and moderator Safi Hollingsworth began by expanding on the current popular definition of AI, noting that while AI in the computer science industry has existed since the 70s, it hasn’t always meant big language models.

Panelists addressed the misconceptions that surround AI. Evans identified AI as a tool to increase productivity, using the calculator as a metaphor.

“The notion that that would make us stupid or lazy, I get that and I think that’s a legitimate concern,” Evans said. “Think about calculators, I’m sure people were like, ‘We’re going to lose the ability to do arithmetic.'”

Polito expressed different concerns about AI and called its ability to learn a key differentiator to older technology. Radiologists and pathologists are two fields that Polito mentioned that AI could take over. Still, Polito said AI could have a good impact on the health sector, with hopes of increasing access and decreasing costs.

For Duvall, AI has already increased the reach of her research. Duvall’s research uses pattern recognition to see when people with emotional dysregulation are likely to explode and initiate preventive measures before that happens, such as dimming lights from a distance or playing calming music.

The 3D body tracking information it previously gathered with sensors can now be gathered with a single webcam. Duvall’s current work involves modernizing technology to achieve the same goals as before.

“It still blows my mind. How do you get 3D information from a camera?” Duvall said. “If you can just do it on your phone, well, it’s even more accessible.”

AI has also been used when processing data. Evans noted that in the past, data sets were more often analyzed individually. Evans’ research covers a wide range of physiology topics, from the effects of prolonged sitting on blood vessels to cell functions.

“You have all this complex data that has different characteristics,” Evans said, “but with AI we are now able to take all that data and find ways to better merge it so that we can do complex analyzes that really complement each other.”

Although Evans credits AI for improving the rate of data interpretation, he stressed the importance of understanding the data and the field in which it works to be able to progress in your research, a sentiment with which all the panelists agreed.

Despite the debate about AI, its positives and negatives, the panelists agreed on the importance of the human element and human learning. Duvall said the reduction in entry-level jobs could result in a struggle to find senior engineers in the future.

“You don’t magically make the leap from novice to expert. You have to struggle to get to expert status, and AI is certainly not an expert,” Duvall said.

Evans said that humans’ ability to entertain and communicate cannot be replicated by technology, and Polito agreed. Along with Polito’s concerns about the integration of AI into the medical field, he saw empathy as an important skill for entering the job force.

“In health care, what we need is empathy and compassion,” Polito said. “Maybe machines can do other work.


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