{"id":4783,"date":"2024-07-24T15:10:28","date_gmt":"2024-07-24T19:10:28","guid":{"rendered":"https:\/\/blogs.goucher.edu\/magazine\/?p=4783"},"modified":"2025-07-24T15:34:11","modified_gmt":"2025-07-24T19:34:11","slug":"generation-ai","status":"publish","type":"post","link":"https:\/\/blogs.goucher.edu\/magazine\/generation-ai\/","title":{"rendered":"Generation AI"},"content":{"rendered":"

W<\/span>hat is the future of AI? Is it a technology that will become as integral to our daily lives as smartphones are, or is it inflated hype?<\/p>\n

On campus, students are diving into these questions in Professor Jill Zimmerman\u2019s Principles of Artificial Intelligence course. Meanwhile, Goucher alums like Jim Segedy \u201907<\/strong> <\/span>and Luka Trikha \u201923<\/strong><\/span> and professors like Amanda Draheim and Lana Oweidat are among the researchers and engineers who want to figure that out.<\/p>\n

In Fall 2023, Amanda Draheim, an assistant professor of psychology at Goucher, taught a seminar in clinical psychology. She wanted to teach her students more about case conceptualization, which, in the clinical world, means \u201cbeing able to organize your thoughts around a client\u2019s presenting concerns and symptoms, as well as their strengths and their histories,\u201d said Draheim. The goal is to form the narrative for a client\u2019s treatment\u2014the source of their distress, for example, and what direction to take with their therapy. \u201cSkill in case conceptualization is a core component of what gets trained in clinical psychology Ph.D. programs,\u201d she said. \u201cIt\u2019s an incredibly challenging skill to learn.\u201d<\/p>\n

While teaching the class, Draheim saw a lot of debate about how to navigate students\u2019 desires to use tools like ChatGPT, the generative AI chatbot. One morning, she woke up with an idea: Generative AI, which creates text responses to user inquiries based on large language models, might be used to teach case-conceptualization skills. \u201cFor training graduate students, there might be some straightforward ways in which we could embrace this tool,\u201d said Draheim. \u201cBut first we have to learn how to use it and how to use it to maximum effect.\u201d<\/p>\n

Lana Oweidat, an associate professor of rhetoric and composition and the Writing Center director at Goucher, was also interested in the conversations happening in higher education about AI, which largely focused on what to do about students presenting AI-generated text as their own work. \u201cThere was a lot of emphasis on the negatives and not much on the potential,\u201d she said. She decided to involve AI in her research, but with a focus on social justice concerns. \u201cThat\u2019s something I feel very strongly about in my teaching and scholarship,\u201d said Oweidat. She wondered if AI could be used as a writing support for marginalized groups. \u201cI was thinking, who are the students that might actually benefit from this tool? How can we use it in an ethical, responsible, critical way?\u201d<\/p>\n

Two Goucher alums who majored in computer science, Luka Trikha \u201923<\/strong><\/span> and Jim Segedy \u201907<\/strong><\/span>, are exploring AI outside of academia. Trikha works for the State Department, performing research to see how AI might be incorporated into the daily work of different offices in the department. Trikha and his colleagues look at how various products work, as there could be separate advantages to different generative AI options. ChatGPT might be better for some things and Google\u2019s Gemini better for others. An international office might need language translations for specific dialects, for example, or another office might need images categorized. \u201cThat\u2019s currently done by workers manually going through images, making labels, sorting them into specific fields,\u201d he said. \u201cIf we had the opportunity to automate that and make everyone\u2019s life easier, that\u2019s progress.\u201d These researchers also work with really big data sets to see what can be automated, in order to help the analysts who use them.<\/p>\n

Jim Segedy is a software engineer at Epic, one of the largest vendors of health care software. Medical records have been transformed in the last few decades, from paper filed in a cabinet to electronic documents shared between different doctors\u2019 offices and health care systems. \u201cWhen you go to the doctor\u2019s office and they\u2019re typing in all of the problems and prescriptions in the computer, that\u2019s probably our software,\u201d said Segedy. He\u2019s worked at Epic for nine years, currently leading the development team that manages the web services platform.<\/p>\n

One project Epic is working on integrates ambient listening technology from companies like Microsoft to provide summaries of patient-provider conversations. That way, \u201cdoctors can spend more time interacting with patients,\u201d Segedy said. Electronic medical records have allowed health care providers to track much more information about a patient, which helps them make better decisions about care. \u201cBut the consequence is that doctors will spend a whole lot more time looking at the computer instead of at the patient,\u201d he said. \u201cA lot of what we focus on is trying to figure out how to use AI technology to get folks focused on the patient again and get them out of the chart.\u201d<\/p>\n

At Goucher, professors Draheim and Oweidat were both awarded a Year of Exploration grant from the college\u2019s KRES Fund to conduct research on AI projects. Draheim, whose expertise is in internalizing disorders\u2014like major depressive, anxiety, and post-traumatic stress disorders\u2014is using her grant this summer to gather evidence on the ethical risks and benefits of using generative AI as a training tool, particularly in terms of protecting patient privacy. She plans to start by sending out a survey to the clinicians who train graduate students. Eventually, Draheim hopes to develop scripts and advice that students can use to practice case conceptualization with AI \u201cin a way that prioritizes cultural considerations and recovery,\u201d she said. \u201cStrengths, sources of resilience, and culture and history are really important pieces of the puzzle that get actively taught in case-conceptualization skills.\u201d<\/p>\n

Oweidat is using her KRES grant this summer to travel to Jordan, where she grew up, to learn from second-language writers. She will look at how Palestinian and Syrian students who came to the country as refugees use AI tools. \u201cA lot of folks there speak English and write in English as a second language,\u201d said Oweidat, \u201cso I decided to travel there to collect data from second-language writers about their use of AI, or lack thereof, and the potentials and the shortcomings. How does this population use generative AI in brainstorming, researching, and composing texts? How does the technology help them face linguistic challenges? And how do their views of this technology support or challenge intellectual property, ownership, and attribution?\u201d After spending the summer interviewing students, she will use the data to draft an article about her findings.<\/p>\n

Nearly everyone interviewed for this article about AI has doubts about AI. Trikha, in the State Department, said that the results of the pilots they\u2019ve started haven\u2019t been overwhelming successes. Oweidat says she wants to figure out if AI tools can even live up to expectations or if the ethical concerns are too great. \u201cThis kind of technology can generate text and, when prompted, it can create images and pictures, too. Where do you draw the line in terms of intellectual property?\u201d she asked, as these tools are typically trained on huge sets of data that include copyrighted material.<\/p>\n

Draheim is pragmatic about students using AI. \u201cI\u2019m starting to develop my own ideas about where to stand with generative AI,\u201d she said. \u201cI\u2019m a proponent of finding ways to use it.\u201d While Goucher\u2019s academic honor code prohibits students from using it without their professors\u2019 permission, she doesn\u2019t think it works to simply ban AI from classrooms\u2014if a student is told not to use it, they\u2019re going to want to use it. As a psychology professor, she thinks motivational interviewing is a better technique to encourage behavioral change\u2014guiding the student to examine their own desire to use the tool, just as a therapy patient is encouraged to interrogate their own motivations for their behavior. Draheim also stresses that there are many ethical considerations that would need to be established before using AI with actual clients.<\/p>\n

There\u2019s also the environmental factor that causes doubts among researchers. An October 2023 article in Scientific American<\/em> predicted that by 2027, AI servers will consume more than 85 terawatt-hours of electricity every year, which is more than some small countries use. That comes with a huge carbon footprint. \u201cI don\u2019t believe it\u2019s sustainable,\u201d said Trikha. \u201cIt takes a lot of power, a lot of energy, and there will come a time when that conversation is going to spark among environmentalists, and the AI industry will be caught with their tails between their legs.\u201d On the other hand, AI optimists hope that as AI improves, it will help us find ways to reduce our reliance on fossil fuels.<\/p>\n

But even with these doubts, the people who research AI see many potential possibilities. Epic has a product called Cosmos that aggregates anonymous data from millions of patient encounters to power medical insights. Perhaps a doctor encounters a strange case they haven\u2019t seen before. \u201cWe can use our data to say, \u2018There aren\u2019t very many people who have presented with this combination of symptoms, but we can find four of them. Here are two doctors still working who treated those patients and might be able to talk you through what they did,\u2019\u201d said Segedy.<\/p>\n

For those who might worry about giving AI too much power over our health, Segedy points out that AI is not making decisions. \u201cIt is providing context in the moment and citing its sources so that the doctor can make the decision,\u201d he said.<\/p>\n

That\u2019s the best-case argument for AI: augmenting human capabilities. \u201cGenerative AI is the latest in a series of technological innovations that greatly reduce the effort required to accomplish something. It\u2019s changed the way that I search for information, write emails, or get a quick summary of a long email thread. It can listen to meetings and create notes. And that enables people to spend their time and energy focusing on what they\u2019re uniquely suited to do: creatively apply technology to make their lives better while they\u2019re focusing on the most important decisions,\u201d Segedy said. He pointed out that Microsoft calls their generative AI products \u201cCopilots,\u201d an apt description for the role AI should occupy in our lives.<\/p>\n

Trikha also wants AI to do good. He was drawn to government work because he wanted to be part of a mission that wasn\u2019t about making money. \u201cWhat we try to do is work for the better of the people and the mission.\u201d He wants to use AI \u201cfor the people, instead of just to get more advertisements.\u201d<\/p>\n","protected":false},"excerpt":{"rendered":"

What is the future of AI? Is it a technology that will become as integral to our daily lives as smartphones are, or is it inflated hype?<\/p>\n","protected":false},"author":352,"featured_media":4787,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0,"footnotes":"","_links_to":"","_links_to_target":""},"categories":[87510],"tags":[],"ppma_author":[87484],"class_list":["post-4783","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-features"],"yoast_head":"\nGeneration AI | Goucher Magazine<\/title>\n<meta name=\"description\" content=\"What is the future of AI? 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