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    <title>Trustworthy AI, Spring 2026</title>
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    <header>
        <h1>Trustworthy AI, Spring 2026</h1>
        <p>CSCI 6907 / EMSE 6992</p>
    </header>

    <div class="container">
        <section class="class-info">
            <h2>Class Information</h2>
            <p><strong>Classroom:</strong> SEH B1270. This is one of the lecture halls in the basement of the SEH building. If you go into the building and descend the stairs, turn right at the bottom.</p>
            <p><strong>Meeting Time:</strong> Mondays 3:30 PM – 6:00 PM. Typically, 3:30 PM – 4:30 PM will feature an invited speaker, followed by an in-class exercise.</p>
            <p><strong>Remote Access:</strong> This course is intended to be in-person, but most guest lectures are public. If you can't attend, use the Zoom link below. Note that in-class exercises are essential for learning, so this is not a remote course.</p>
            <div class="zoom-link">
                <a href="https://us02web.zoom.us/j/81674875049?pwd=VkgRUXifkxx6UhBTMUhI6XO7BLATUm.1" target="_blank">Join Zoom Meeting</a>
                <p style="margin-top: 10px; font-size: 0.9em;">
                    If prompted for a password, use: <strong>12481632</strong> (Sequence: 1, 2, 4, 8, 16, 32)
                </p>
            </div>
            <p><Strong>Syllabus: </strong><a href="Spring2026TrustworthyAISyllabus.docx">Spring2026TrustworthyAISyllabus.docx</a>.
        </section>
        <section class="goals">
            <h2>Course Goals</h2>

<p>This class will explore the technical and societal approaches that are being developed to deploy trustworthy AI (TAI) systems in real-world situations.
    The course is open to graduate students across the University and will explore topics that may include bias in AI, misinformation and disinformation, IP rights and credit assignment in generative AI, ethical frameworks for AI deployment, and human oversight and governance models.
    Course work will focus on four large projects, structured to be approachable from social, legal, scientific or computational perspectives. </p>
        <section class="schedule">
            <h2>Lecture Schedule</h2>
            <ol>
                <li><strong>Monday January 12, 2026:</strong> Introduction to Trust & AI by Robert Pless.  <a href="01_IntroToTrustworthy AI _2026.pptx">Slides</a>.</li>
                <li><strong>Monday January 19, 2026:</strong> <em>Holiday</em></li>
                <li><strong>Monday January 26, 2026:</strong> Combining Vision and Language, by Robert Pless.
                    <a href="https://openai.com/index/clip/">(Reading)</a>,
                    <a href="02_VisualLanguageModelIntroduction.pptx">(Slides)</a>,
                    <a href="https://us02web.zoom.us/rec/share/us2OtuxfCXMByPGn5ALjSsdKxDwOtNNXfdR0bd7p9dY9o3e5VW2C80hSTFDzYBDh.BF_nY2puNKXCIzNZ">(Video -- Password available on blackboard or by e-mail)</a></li>

                <li><strong>Monday February 2, 2026:</strong> Leah Kaplan, "AI and High Tech Product Liabilty"</li>
                <li><strong>Monday February 9, 2026:</strong> John Warren, "AI, Publishing, and Ethics/Research Integrity", <a href="https://s3.eu-west-2.amazonaws.com/stm.offloadmedia/wp-content/uploads/2026/01/09190308/STM-Research-Integrity-Storytelling_Final-Shared-6th-Jan-2026.pdf">Reading</a></li>
                <li><strong>Monday February 16, 2026:</strong> <em>Holiday</em></li>
                <li><strong>Monday February 23, 2026:</strong> Shi Feng, Mechanisms of Human Oversight in Training AI Systems</li>
                <li><strong>Monday March 2, 2026:</strong> Stacy Dean, "AI Applications and Issues in the Safety Net:  A Focus on Federal Food and Nutrition Programs".
                Readings:
                <ol>
                  <li><a href="https://digitalgovernmenthub.org/wp-content/uploads/2024/05/2024-usda-ai-framework-benefits.pdf">USDA's Framework for State, Local, Tribal, and Territorial Use of Artificial Intelligence for Public Benefit Administration</a>.
                  <li><a href="https://www.linkedin.com/in/daveguarino/">Blog posts from Dave Guarino who is experimenting with AI in SNAP or Food Stamps, available on LinkedIn</a>
                </ol>
                </li>
                <li><strong>Monday March 9, 2026:</strong> <em>Spring Break</em></li>
                <li><strong>Monday March 16, 2026:</strong> SOTA: AI Agents, Robert Pless.<br>
                <a href="https://www.anthropic.com/research/measuring-agent-autonomy">Reading: "Measuring Agent Autonomy"
                <a href="https://www.newyorker.com/culture/2025-in-review/why-ai-didnt-transform-our-lives-in-2025">Reading 2: Why A.I. Didn’t Transform Our Lives in 2025</a>
                </li>
                <li><strong>Monday March 23, 2026:</strong> NLP, Ayah Zirikly</li>
                <li><strong>Monday March 30, 2026:</strong> </li>
                <li><strong>Monday April 6, 2026:</strong>  </li>
                <li><strong>Monday April 13, 2026:</strong> David Broniatowski, Trust in AI </li>
                <li><strong>Monday April 20, 2026:</strong> Alexander Dent</li>
                <li><strong>Monday April 27, 2026:</strong> James Huckenpahler, AI and Art Production</li>
                <li><strong>Designated Monday April 29, 2026:</strong></li>
            </ol>
        </section>
            Please submit your questions about readings to the following Google Form, <a href="https://forms.gle/MkxpNywffjjuHrvs8">here</a>.

            <section class="Projects">
                <ol>
                    <li><a href="https://pless.github.io/trustworthyAI/Project1">Project 1</a></li>
                    <li><a href="https://pless.github.io/trustworthyAI/Project2">Project 2</a></li>
                    <li><a href="https://pless.github.io/trustworthyAI/Project3">Project 3</a></li>
                    <li><a href="https://pless.github.io/trustworthyAI/Project4">Project 4</a></li>
                    <li><a href="https://pless.github.io/trustworthyAI/ProjectFinal">Final Project</a></li>
                </ol>

            </section>


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