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<Title>UMBC Students Build AI Chatbot for myUMBC</Title>
<Tagline>Project for IS 636: Structured Systems Analysis and Design</Tagline>
<Body>
<![CDATA[
    <div class="html-content">Three <a href="https://informationsystems.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Information Systems</strong></a> students, <a href="https://www.linkedin.com/in/pavithra-gottipati-8b0b351b9/" rel="nofollow external" class="bo"><strong>Pavithra Gottipati</strong></a>, <a href="https://www.linkedin.com/in/andrew-meiller-00a881331/" rel="nofollow external" class="bo"><strong>Andrew Meiller</strong></a>, and <a href="https://www.linkedin.com/in/sakshi-jaju-98071820b/" rel="nofollow external" class="bo"><strong>Sakshi Jaju</strong></a> teamed up in <a href="https://informationsystems.umbc.edu/home/graduate-programs/graduate-course-listing/is-636-structured-systems-analysis-and-design-credits-3/" rel="nofollow external" class="bo"><strong>IS 636 – Structured Systems Analysis and Design</strong></a>, taught by IS Professor <strong><a href="https://informationsystems.umbc.edu/home/faculty-and-staff/new-faculty-spotlights/lei-zhang-2/" rel="nofollow external" class="bo"><strong>Lei Zhang</strong></a><a href="https://est.umbc.edu/leizhang/" rel="nofollow external" class="bo">,</a></strong> to design and prototype an AI-powered chatbot for the myUMBC portal. Their project focused on improving how undergraduate and graduate students find answers to questions and get support about campus services. <div><br></div><div>Their chatbot supports topics including billing, financial services, library resources, career services, and IT support; integrates with myUMBC Help/Request Tracker and Student Business Services; and includes analytics, monitoring, and administrative tools. They used a <a href="https://en.wikipedia.org/wiki/Retrieval-augmented_generation" rel="nofollow external" class="bo"><strong>Retrieval-Augmented Generation</strong></a> (RAG) approach with<div><ul><li>A sentence transformer model retrieves the closest frequently asked question (FAQ) using <a href="https://en.wikipedia.org/wiki/Embedding_(machine_learning)" rel="nofollow external" class="bo"><strong>vector embeddings</strong></a></li><li>A Microsoft <a href="https://huggingface.co/microsoft/Phi-3-mini-128k-instruct" rel="nofollow external" class="bo"><strong>Phi-3 Mini Instruct LLM</strong></a><strong> </strong>system to generate fallback responses when no close match is found in the FAQ</li><li>Secure NLP/LLM hosting, integrated knowledge base, and API connectivity within the UMBC ecosystem</li></ul><div>This post is adapted from text in a <a href="https://www.instagram.com/p/DVRrTwED25S/" rel="nofollow external" class="bo">student spotlight</a> on the IS department's <a href="https://www.instagram.com/umbc_is/" rel="nofollow external" class="bo">Instagram feed</a>. You can read more about the students and their project in a post on the IS department's website <a href="https://informationsystems.umbc.edu/building-an-ai-chatbot-for-myumbc/" rel="nofollow external" class="bo"><strong>here</strong></a>.</div></div></div></div>
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<Summary>Three UMBC Information Systems students, Pavithra Gottipati, Andrew Meiller, and Sakshi Jaju teamed up in IS 636 – Structured Systems Analysis and Design, taught by IS Professor Lei Zhang, to...</Summary>
<Website>https://informationsystems.umbc.edu/building-an-ai-chatbot-for-myumbc/</Website>
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<Tag>ai</Tag>
<Tag>chatbot</Tag>
<Tag>information-systems</Tag>
<Tag>llm</Tag>
<Tag>project</Tag>
<Tag>student</Tag>
<Tag>umbc</Tag>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Sat, 28 Feb 2026 11:06:52 -0500</PostedAt>
<EditAt>Sun, 01 Mar 2026 18:11:02 -0500</EditAt>
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<NewsItem contentIssues="false" id="153732" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/153732">
<Title>Participate in an online research study of how users interact with an AI chatbot</Title>
<Body>
<![CDATA[
    <div class="html-content"><div><div><div><div><div><div><div><div><div><div><div><div><p>We are conducting a research study to explore how users interact with AI. Use an AI chatbot to answer 3 quiz questions! <strong>Here is the study link: </strong><a href="https://llm-frontend-9fnt.onrender.com/signup" rel="nofollow external" class="bo"><strong>https://llm-frontend-9fnt.onrender.com/signup</strong></a></p><p><strong>Who can participate? </strong>You must be</p><ol><li><p>18 years or older </p></li><li><p>Fluent in English</p></li><li><p>Able to access to a laptop or desktop computer and a stable internet connection</p></li><li><p>Have a basic understanding of how to use an AI Chatbot (e.g., ChatGPT).</p></li></ol><p><strong>What will I do?</strong> </p><p>This task will be completed remotely online and will take 20 minutes or less. You will use an LLM chatbot called Aletheia to answer three on-screen questions and complete a brief survey about your experience.</p><p><strong>What will I get?</strong> </p><p>You will be entered into a raffle for a $50 Amazon gift card. </p><p>If you would like to learn more or have any questions, please contact </p><p>Chielota Uma at <a href="mailto:cuma1@umbc.edu" rel="nofollow external" class="bo">cuma1@umbc.edu</a> or  Dr. Shimei Pan at  <a href="mailto:shimei@umbc.edu" rel="nofollow external" class="bo">shimei@umbc.edu</a></p><p>Thank you for considering helping us with our research! Your time is greatly appreciated.</p></div><div><br></div></div></div></div></div></div></div></div></div></div></div></div><div><div></div></div></div>
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<Summary>We are conducting a research study to explore how users interact with AI. Use an AI chatbot to answer 3 quiz questions! Here is the study link: https://llm-frontend-9fnt.onrender.com/signup  Who...</Summary>
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<Tag>chatbot</Tag>
<Tag>llm</Tag>
<Tag>quiz</Tag>
<Tag>research</Tag>
<Tag>study</Tag>
<Group token="umbc-ai">UMBC AI</Group>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Mon, 20 Oct 2025 16:40:20 -0400</PostedAt>
<EditAt>Mon, 20 Oct 2025 19:14:10 -0400</EditAt>
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<NewsItem contentIssues="false" id="150751" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/150751">
<Title>Grok&#8217;s &#8216;white genocide&#8217; responses show how generative AI can be weaponized</Title>
<Body>
<![CDATA[
    <div class="html-content"><span><span>UMBC faculty </span><a href="https://theconversation.com/profiles/james-foulds-1417799" rel="nofollow external" class="bo"><span>James Foulds</span></a><span>, </span><a href="https://theconversation.com/profiles/phil-feldman-2407997" rel="nofollow external" class="bo"><span>Phil Feldman</span></a><span>, and </span><a href="https://theconversation.com/profiles/shimei-pan-2408002" rel="nofollow external" class="bo"><span>Shimei Pan</span></a><span> published a article in The Conversation on the recent problem where xAI’s Grok chatbot had repeatedly mentioned “white genocide” in South Africa when responding to unrelated queries. They explain how this happened and what can be done in the future to prevent such problems. </span></span><div><span><br></span><div><span>Read their article on UMBC </span><a href="https://umbc.edu/stories/groks-white-genocide-responses-show-how-generative-ai-can-be-weaponized/" rel="nofollow external" class="bo"><strong>here</strong></a><span>.</span></div></div></div>
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<Summary>UMBC faculty James Foulds, Phil Feldman, and Shimei Pan published a article in The Conversation on the recent problem where xAI’s Grok chatbot had repeatedly mentioned “white genocide” in South...</Summary>
<Website>https://umbc.edu/stories/groks-white-genocide-responses-show-how-generative-ai-can-be-weaponized/</Website>
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<Tag>chatbot</Tag>
<Tag>grok</Tag>
<Tag>llm</Tag>
<Group token="umbc-ai">UMBC AI</Group>
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<Sponsor>UMBC AI</Sponsor>
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<NewsItem contentIssues="true" id="146418" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/146418">
<Title>World's first chatbot restored on the world's first time-sharing system</Title>
<Tagline>Original ELIZA code runs in CTSS emulator on Linux/MacOS</Tagline>
<Body>
<![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/12/weizenbaum-eliza.jpg" style="max-width: 100%; height: auto;"></div><div><br></div><div>MIT professor <a href="https://en.wikipedia.org/wiki/Joseph_Weizenbaum" rel="nofollow external" class="bo"><strong>Joseph Weizenbaum</strong></a> created <a href="https://en.wikipedia.org/wiki/ELIZA" rel="nofollow external" class="bo"><strong>ELIZA</strong></a> in 1966 partly to demonstrate how easy it was to convince people that a computer was intelligent. His original <a href="https://en.wikipedia.org/wiki/SLIP_(programming_language)" rel="nofollow external" class="bo"><strong>MAD-SLIP</strong></a> version of ELIZA, usually considered the world's first <a href="https://en.wikipedia.org/wiki/Chatbot" rel="nofollow external" class="bo"><strong>chatbot</strong></a>, is running again on its native platform for the first time in nearly 60 years. Weizenbaum's original CACM paper, <a href="https://dl.acm.org/doi/epdf/10.1145/365153.365168" rel="nofollow external" class="bo"><strong>ELIZA — A Computer Program for the Study of Natural Language Communication Between Man and Machine</strong></a>, is available online.</div><div><br></div><div>This historic breakthrough was accomplished by a team of researchers (Rupert Lane, Anthony Hay, Arthur Schwarz, and Jeff Shrager) who successfully restored ELIZA to operation on a reconstructed version of MIT's <a href="https://en.wikipedia.org/wiki/Compatible_Time-Sharing_System" rel="nofollow external" class="bo"><strong>Compatible Time-Sharing System</strong></a> (CTSS), running on an emulated <a href="https://en.wikipedia.org/wiki/IBM_7090" rel="nofollow external" class="bo"><strong>IBM 7094</strong></a>. You can download the code from this <a href="https://github.com/rupertl/eliza-ctss" rel="nofollow external" class="bo"><strong>GitHub repository</strong></a> and run it on most Linux or MacOS systems.</div><div><br></div><div>See this <a href="https://sites.google.com/view/elizagen-org/blog/eliza-reanimated" rel="nofollow external" class="bo"><strong>blog post</strong></a> describing the effort to get the original ELIZA version running and a <a href="https://www.youtube.com/watch?v=j5Tw-XVcsRE" rel="nofollow external" class="bo"><strong>video</strong></a> of the reanimated ELIZA. Read more about ELIZA on the <a href="https://sites.google.com/view/elizagen-org/" rel="nofollow external" class="bo"><strong>Genealogy of ELIZA</strong></a> site. You can also <a href="https://anthay.github.io/eliza.html" rel="nofollow external" class="bo"><strong>talk to ELIZA</strong></a> using a version of Weizenbaum's script via a JavaScript adaptation of the original code by Anthony Hay.</div><div><br></div> 
    <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a></div>
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<Summary>MIT professor Joseph Weizenbaum created ELIZA in 1966 partly to demonstrate how easy it was to convince people that a computer was intelligent. His original MAD-SLIP version of ELIZA, usually...</Summary>
<Website>https://sites.google.com/view/elizagen-org/blog/eliza-reanimated</Website>
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<Tag>ai</Tag>
<Tag>chatbot</Tag>
<Tag>eliza</Tag>
<Tag>history</Tag>
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<Sponsor>UMBC AI</Sponsor>
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<PostedAt>Sat, 28 Dec 2024 12:16:18 -0500</PostedAt>
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<NewsItem contentIssues="false" id="140226" important="false" status="posted" url="https://beta.my.umbc.edu/groups/umbc-ai/posts/140226">
<Title>AI Lunchbox: generative AI and writing code, 12-1pm ET 3/28</Title>
<Tagline>How new AI systems can help software engineers &amp; programmers</Tagline>
<Body>
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    <div class="html-content"><div>The UMBC Training Centers <a href="https://c4a.ai/" rel="nofollow external" class="bo"><strong>Center for Applied AI</strong></a> LunchBox Series will hold a online session 12-1 pm ET on Thursday, March 28 on using generative AI systems and writing software code. <a href="https://www.linkedin.com/in/liam-echlin-36a2ab4/" rel="nofollow external" class="bo"><strong>Liam Echlin</strong></a> will demonstrate some of the top coding AI tools and offer tips on how to leverage them for speed and accuracy when writing code.</div><div><br></div><div><span><span>New generative AI systems can enhance software design and programming by breaking down approaches and automating code and comment generation, significantly reducing development time and effort. They can also provide recommendations for code optimization and bug fixes, improving code quality and performance. These systems can also help in learning new programming languages or frameworks by giving examples and assisting with syntax and best practices.</span></span></div><div><br></div><div>Register for this free session in the AI Lunchbox series <strong><a href="https://info.umbctraining.com/e3t/Ctc/LT+113/c3xy404/VVtNl62tLR-JN1w_d3_dx9zZVXkGBG5c7k6yMcSJQW3qgyTW5BW0B06lZ3kyN7_Pys6W_VhqW5vTcCf3dH4BvW2Y-QQt3BSLkSN2z2Z4wLvtvSW8K6n6T8VQykkW6M0yrz9kNqYpW92xjq87Q1BspW2X5lvW6_2TBKW6nQRJk8_hDRXW38-1DL1n7np6W67nsF86Dj4Y_W4PwwFR5Gw2SzW9lDqLk5HVskdW5VJM309d2DP0W2Y4tZ35mJgn7W18mB276pfY74W7dK23C2_xDRXMqSF4xdrvYJdkjYCM04" rel="nofollow external" class="bo">here</a> </strong>and get a link to the Zoom session.</div><div><div><br></div></div></div>
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<Summary>The UMBC Training Centers Center for Applied AI LunchBox Series will hold a online session 12-1 pm ET on Thursday, March 28 on using generative AI systems and writing software code. Liam...</Summary>
<Website>https://c4a.ai/?utm_campaign=AI&amp;utm_medium=email&amp;_hsmi=299951184&amp;utm_content=299951184&amp;utm_source=hs_email#lb06</Website>
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<Tag>ai</Tag>
<Tag>chatbot</Tag>
<Tag>code</Tag>
<Tag>programming</Tag>
<Tag>software</Tag>
<Group token="umbc-ai">UMBC AI</Group>
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<Sponsor>UMBC AI Center</Sponsor>
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<PostedAt>Wed, 27 Mar 2024 09:27:27 -0400</PostedAt>
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