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<Title>Talk: Privacy and Security Analysis of myUMBC's AI Answers, 3/28</Title>
<Tagline>12-1pm ET Friday, March 28, 2025 online</Tagline>
<Body>
<![CDATA[
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    <h3>A Privacy and Security Analysis of myUMBC's AI Answers: UMBC SFS Scholar Winter Study 2025</h3>
    <div><br></div>
    <h4>
    <a href="https://damslabumbc.github.io/author/christian-badolato/" rel="nofollow external" class="bo">Christian Badolato<br></a>12–1pm Friday, March 28, 2025 <a href="https://umbc.webex.com/meet/sherman" rel="nofollow external" class="bo">online</a>
    </h4>
    <div><br></div>
    <div>
    <a href="https://en.wikipedia.org/wiki/Generative_artificial_intelligence" rel="nofollow external" class="bo"><strong>Generative AI</strong></a> has the potential to improve user search experiences by supporting natural language querying and providing more detailed and domain-specific responses. UMBC is seeking to provide this convenience to myUMBC users through the <a href="https://my3.my.umbc.edu/groups/doit/posts/147188" rel="nofollow external" class="bo"><strong>myUMBC Answers</strong></a> system, which enables users to access both personal and UMBC services information from the myUMBC search bar. In this talk, we investigate the resiliency of Answers against several common generative AI attacks that were performed by the UMBC Scholarship for Service (SFS) scholars in collaboration with other students and the UMBC Division of Information Technology (DoIT). We first provide an overview of the study and the myUMBC Answers system before discussing the types of attacks which were launched against the system. We then explore the behavior of the Answers system in response to these attacks. Finally, we outline the recommendations provided to DoIT by the study participants to improve the security and user experience of myUMBC Answers.</div>
    <div><br></div>
    <div>
    <a href="null" rel="nofollow external" class="bo"><strong>Christian Badolato</strong></a> is a PhD student working with Professor <a href="https://robertoyus.com/" rel="nofollow external" class="bo"><strong>Roberto Yus</strong></a> focusing on data privacy in the Internet of Things at UMBC after having received his master’s degree from the same university. He has several years of experience as a software architect and is a Certified Information Systems Security Professional.</div>
    <div><br></div>
    <div>Support for this <a href="https://cisa.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Cyber Defense Lab</strong></a> event was provided in part by NSF under SFS grant DGE-1753681.</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>A Privacy and Security Analysis of myUMBC's AI Answers: UMBC SFS Scholar Winter Study 2025     Christian Badolato 12–1pm Friday, March 28, 2025 online     Generative AI has the potential to...</Summary>
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<Sponsor>UMBC Cyber Defense Lab</Sponsor>
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<NewsItem contentIssues="true" id="148368" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/148368">
<Title>Expanded set of AI tools for the UMBC community</Title>
<Body>
<![CDATA[
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    <p><span>UMBC’s Division of Information Technology </span><a href="https://doit.umbc.edu/ai/post/148330/" rel="nofollow external" class="bo"><span><strong>announced</strong></span></a><span> the expanded availability of powerful AI tools to support the UMBC community in </span><span>teaching, learning, research, and productivity.</span></p>
    <p><span>All UMBC accounts now have access to the free version of Google </span><a href="https://gemini.google.com/app" rel="nofollow external" class="bo"><span><strong>Gemini</strong></span></a><span>, which has a wide range of AI-powered features that can assist with writing, brainstorming, and information-gathering tasks. The Gemini suite also includes the new </span><a href="http://notebooklm.google.com/" rel="nofollow external" class="bo"><span><strong>notebookLM</strong></span></a><span> system that helps users understand and organize information from uploaded documents. It can also generate audio overviews of that information and Gemini’s </span><a href="https://gemini.google/overview/deep-research/" rel="nofollow external" class="bo"><span><strong>Deep Research</strong></span></a><span> tool. </span><span>Paid licenses for </span><a href="https://gemini.google/advanced/" rel="nofollow external" class="bo"><span><strong>Gemini Advanced</strong></span></a><span> will be available in some cases.</span></p>
    <p><span>All UMBC accounts now have default access to the free version of Microsoft </span><a href="http://copilot.microsoft.com/" rel="nofollow external" class="bo"><span><strong>Copilot</strong></span></a><span>, which provides a model for brainstorming, email generation, and more. Paid licenses for Copilot Pro that allow integration with the Microsoft 365 suite (Word, Excel, Teams, …) are available in some cases.</span></p>
    <p><span>UMBC now has a local instance of <a href="https://umbc.atlassian.net/wiki/spaces/faq/pages/925302868/How+do+I+get+started+with+Amplify+GenAI" rel="nofollow external" class="bo"><strong>Amplify</strong></a>, an innovative AI tool developed by </span><a href="https://www.vanderbilt.edu/generative-ai/custom-software-pilot-amplify/" rel="nofollow external" class="bo"><span><strong>Vanderbilt University</strong></span></a><span> that provides access to commercial AI models hosted within UMBC's secure cloud environment, including from OpenAI, such as GPT-4o or o1 series, Meta Llama, or Anthropic Claude models. Access to UMBC's Amplify is available to faculty and staff upon submission of an </span><a href="https://doit.umbc.edu/ai/support" rel="nofollow external" class="bo"><span><strong>access request</strong></span></a><span>.</span></p>
    <span>See DoIT’s </span><a href="https://doit.umbc.edu/ai/genai-tools/" rel="nofollow external" class="bo"><span><strong>GenAI Tools</strong></span></a><span> page for more information.</span><div>
    <span><br></span>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a> </div>
    </div>
]]>
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<Summary>UMBC’s Division of Information Technology announced the expanded availability of powerful AI tools to support the UMBC community in teaching, learning, research, and productivity.  All UMBC...</Summary>
<Website>https://doit.umbc.edu/ai/genai-tools/</Website>
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<Sponsor>UMBC AI</Sponsor>
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<NewsItem contentIssues="true" id="148265" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/148265">
<Title>Generative AI Unleashed: From Basics to Building, 4/26</Title>
<Tagline>Free online workshop, 9am-12pm EDT, Sat. April 26, 2025</Tagline>
<Body>
<![CDATA[
    <div class="html-content">Explore the power of <a href="https://en.wikipedia.org/wiki/Generative_artificial_intelligence" rel="nofollow external" class="bo"><strong>generative AI</strong></a> during this free three hour virtual workshop sponsored by UMBC-Shady Grove.<div><br></div>
    <div>Recent advances in generative AI, including <a href="https://en.wikipedia.org/wiki/Large_language_model" rel="nofollow external" class="bo"><strong>large language models</strong></a>, can create new content, including text, images, code, audio, and video, by learning from existing data and guided by prompts from users. This have led to many new new applications that can revolutionize industries by boosting creativity, automating tasks, and improving efficiency. </div>
    <div>
    <div><br></div>
    <div>From fundamentals to hands-on practice, UMBC's data science program director Dr. <strong><a href="https://news.cs.umbc.edu/people/faculty/muhammad-ali-yousuf/" rel="nofollow external" class="bo">Ali Yousuf</a> </strong>will guide interactive activities for all skill levels. Learn valuable applications of generative AI and see how UMBC's graduate programs in <a href="https://professionalprograms.umbc.edu/data-science/" rel="nofollow external" class="bo"><strong>data science</strong></a> can help you advance in this growing field. <div><br></div>
    <div> Register <a href="https://shadygrove.umbc.edu/event/generative-ai-unleashed-from-basics-to-building/" rel="nofollow external" class="bo"><strong>here</strong></a> for this free online workshop.</div>
    </div>
    </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>Explore the power of generative AI during this free three hour virtual workshop sponsored by UMBC-Shady Grove.    Recent advances in generative AI, including large language models, can create new...</Summary>
<Website>https://shadygrove.umbc.edu/event/generative-ai-unleashed-from-basics-to-building/</Website>
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<NewsItem contentIssues="true" id="148197" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/148197">
<Title>UMBC alums and faculty at the 2025 AAAI Undergraduate Consortium</Title>
<Body>
<![CDATA[
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    <span><p><span><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2025/03/AAAI_UMBC.jpg" style="max-width: 100%; height: auto;"></span></p>
    <p><span>UMBC alumnus Jason Grant ('10, computer engineering) served as the Undergraduate Consortium Co-Chair at the 2025 AAAI Conference held in Philadelphia in the last week of February. Joining him in the committee were UMBC faculty Patricia Ordóñez (IS) and Rebecca Williams (CSEE).  UMBC alumnus Kendall Queen ('16, computer engineering) who is a </span><span>software engineer at Asylon Robotics, gave the keynote talk at the </span><span>Undergraduate Consortium event.</span></p>
    <p><span>The picture shows UMBC people </span><span>Manus Gaur, Gerald Ndawula, Rebecca Williams; Kendal Queen; and Jason Grant who were part of the event.</span></p></span>
    <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>UMBC alumnus Jason Grant ('10, computer engineering) served as the Undergraduate Consortium Co-Chair at the 2025 AAAI Conference held in Philadelphia in the last week of February. Joining him in...</Summary>
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<PostedAt>Sun, 23 Mar 2025 11:41:15 -0400</PostedAt>
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<NewsItem contentIssues="true" id="148186" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/148186">
<Title>Tutorial on NeuroSymbolic AI applied to NLP</Title>
<Tagline>Material from the AAAI 2025 tutorial</Tagline>
<Body>
<![CDATA[
    <div class="html-content">
    <img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2025/03/tutorial.png" style="max-width: 100%; height: auto;"><div><br></div>
    <div>
    <div>
    <a href="https://en.wikipedia.org/wiki/Large_language_model" rel="nofollow external" class="bo"><strong>Large Language Models</strong></a> are transforming natural language processing tasks in multiple domains in many ways. Despite their capabilities, their real-world adoption is often limited by issues like the lack of transparency, inadequate understanding of domain protocols, and subpar precision. </div>
    <div><br></div>
    <div>
    <a href="https://manasgaur.github.io/" rel="nofollow external" class="bo"><strong>Manas Gaur</strong></a>, <a href="https://www.edwardraff.com/" rel="nofollow external" class="bo"><strong>Ed Raff</strong></a>, and <a href="https://mohammadi-ali.github.io/" rel="nofollow external" class="bo"><strong>Ali Mohammadi</strong></a> were part of the team that organized and presented a half-day tutorial at the 2025 AAAI Conference last month covering the concept of <a href="https://en.wikipedia.org/wiki/Neuro-symbolic_AI" rel="nofollow external" class="bo"><strong>Neurosymbolic AI </strong></a>and how it can be applied to LLMs to help solve key challenges in NLP tasks like explainability, grounding, and instructability.</div>
    <div><br></div>
    <div>You can see their slides and other material <a href="https://nesy-egi.github.io/" rel="nofollow external" class="bo"><strong>here</strong></a>.</div>
    </div>
    <div><br></div>
    
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
</Body>
<Summary>Large Language Models are transforming natural language processing tasks in multiple domains in many ways. Despite their capabilities, their real-world adoption is often limited by issues like the...</Summary>
<Website>https://nesy-egi.github.io/</Website>
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<PostedAt>Fri, 21 Mar 2025 10:18:25 -0400</PostedAt>
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<NewsItem contentIssues="true" id="148160" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/148160">
<Title>AI After Hours: Networking &amp; Jam Session, April 10</Title>
<Tagline>5:30-7:30 Thur., April 10, 2025, suite 130, BWTech North</Tagline>
<Body>
<![CDATA[
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    <div><span><span><a href="https://bwtech.umbc.edu/" rel="nofollow external" class="bo"><strong>bwtech@UMBC</strong></a> and Entinex are holding an </span><span>AI After Hours: Networking &amp; Jam Session</span><span>from 5:30 to 7:30 on Thursday, April 10 in Suite 130 at BWTech North, 5520 Research Park Drive at the edge of the UMBC campus.</span></span></div>
    <div><span><span><br></span></span></div>
    <div><span><span>They plan to collect attendee input on focal points for future AI-oriented events, including a </span><span>research-focused event in May, bringing industry and university AI researchers together to discuss mutually beneficial directions for translational technology coming out of UMBC research labs.</span></span></div>
    <div><span><span><br></span></span></div>
    <h5><span><span>Get more information and register for the event <a href="https://www.eventbrite.com/e/ai-after-hours-networking-jam-session-tickets-1286763607589" rel="nofollow external" class="bo"><strong>here</strong></a>. </span></span></h5>
    <div><span><span><br></span></span></div>
    
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
</Body>
<Summary>bwtech@UMBC and Entinex are holding an AI After Hours: Networking &amp; Jam Sessionfrom 5:30 to 7:30 on Thursday, April 10 in Suite 130 at BWTech North, 5520 Research Park Drive at the edge of the...</Summary>
<Website>https://www.eventbrite.com/e/ai-after-hours-networking-jam-session-tickets-1286763607589</Website>
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<NewsItem contentIssues="true" id="147948" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/147948">
<Title>UMBC PhD student recognized for research modeling hurricanes with machine learning</Title>
<Body>
<![CDATA[
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    <span><p><span>Mechanical engineering Ph.D. student </span><span><a href="https://www.linkedin.com/in/badtanjil/" rel="nofollow external" class="bo">Md Badrul Hasan</a></span><span> received the </span><a href="https://www.aiaa.org/SciTech/call-for-content/call-for-papers/student-paper-competitions#fluid-dynamics" rel="nofollow external" class="bo"><span>2025 Professor Kirti “Karman” Ghia Memorial Award</span></a><span> from the American Institute of Aeronautics and Astronautics for his research modeling the fluid flow inside hurricanes with physics-informed machine learning. </span></p>
    <p><span>The award recognizes an international graduate student in the U.S. who has developed an innovative approach to computational fluid dynamics, in which computers are used to analyze and predict how fluids flow, with applications in aerospace engineering, weather forecasting, and more. </span></p>
    <p><span>Hasan and his UMBC mentors—</span><a href="https://me.umbc.edu/dr-meilin-yu/" rel="nofollow external" class="bo"><span>Meilin Yu</span></a><span>, mechanical engineering, and </span><a href="https://www.csee.umbc.edu/people/faculty/tim-oates/" rel="nofollow external" class="bo"><span>Tim Oates</span></a><span>, computer science and electrical engineering—looked at the layer of atmosphere in a hurricane that is directly above the ocean surface. Called the hurricane boundary layer, it is where turbulent flows bring heat and moisture from the water into the air, and it plays a crucial role in determining a hurricane’s intensity and track.</span></p>
    <p><span>Hasan says he is grateful for the guidance of Professor Oates in selecting and understanding the machine learning models. “It was a great team effort between mechanical engineering and computer science—really productive and rewarding for both sides,” he says.</span></p>
    <span>Read more about Hassan’s award in this </span><a href="https://umbc.edu/quick-posts/modeling-hurricanes-with-machine-learning/" rel="nofollow external" class="bo"><span>UMBC News post</span></a><span> by </span><a href="https://ucm.umbc.edu/our-team/person/xk56452/" rel="nofollow external" class="bo"><span>Catherine Meyers</span></a></span><div>
    <br>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a> </div>
    </div>
]]>
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<Summary>Mechanical engineering Ph.D. student Md Badrul Hasan received the 2025 Professor Kirti “Karman” Ghia Memorial Award from the American Institute of Aeronautics and Astronautics for his research...</Summary>
<Website>https://umbc.edu/quick-posts/modeling-hurricanes-with-machine-learning/</Website>
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<PostedAt>Sat, 08 Mar 2025 10:21:01 -0500</PostedAt>
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<NewsItem contentIssues="true" id="147914" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/147914">
<Title>Talk: Building a Collaborative &amp; Interactive Data System to Broaden Access to Data Science, AI, &amp; ML</Title>
<Tagline>12-1 pm ET Friday, March 7, 2025, UMBC ITE 325b</Tagline>
<Body>
<![CDATA[
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    <div>In an era where data-driven decision-making shapes industries, governments, and everyday life, the ability to leverage data science has become an essential skill. Modern data science techniques, including artificial intelligence, machine learning, and large language models, offer advanced capabilities but often require programming expertise, limiting accessibility for a broader audience. In this talk, I will discuss my work on Texera, an open-source system designed to make data science, AI, and ML accessible to everyone. I will begin by introducing Texera’s no-code workflow interface and cloud-based platform, which enable users of varying backgrounds to seamlessly collaborate together in data science, providing an experience similar to Google Docs and Overleaf. Next, I will discuss the design choices behind Texera’s actor-based parallel execution engine that enable interactions during workflow execution. I will dive deep into my work on enhancing user interactions with the distributed parallel data engine, focusing on innovative data debugging techniques that improve transparency and usability. Specifically, I will present Udon, a debugger for user-defined functions (UDFs) in data systems, explaining how it allows users to interact with an operator with fine-grained control down to the code-line level. I will then present IcedTea, a time-travel debugger for data workflows, demonstrating how it allows users to interact with distributed operators while ensuring consistency. To conclude, I will outline future research directions of developing an ecosystem that integrates advanced interfaces and intelligent systems, enhancing accessibility, efficiency, and user empowerment in data science.</div>
    <div><br></div>
    <div>
    <a href="https://yicong-huang.github.io/" rel="nofollow external" class="bo"><strong>Yicong Huang</strong></a> is a final-year Ph.D. candidate from the Information Systems Group (ISG) in the Computer Science Department, University of California, Irvine. Under the guidance of Dr. Chen Li, his research focuses on big data management, data-processing systems, and systems for data science, AI and ML. </div>
    <div><br></div>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
</Body>
<Summary>In an era where data-driven decision-making shapes industries, governments, and everyday life, the ability to leverage data science has become an essential skill. Modern data science techniques,...</Summary>
<Website>https://my3.my.umbc.edu/groups/csee/events</Website>
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<Sponsor>UMBC CSEE Department</Sponsor>
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<NewsItem contentIssues="false" id="147815" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/147815">
<Title>Talk: Generative AI &amp; Higher Education: Practical Insights for Today &amp; Tomorrow, 3/27</Title>
<Tagline>5-6:30pm Thursday, March 27, 2025, UMBC Library Gallery</Tagline>
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    <h3>
    <span>Generative AI &amp; Higher Education: </span><span>Practical Insights for Today and Tomorrow</span>
    </h3>
    <div>
    <h3><span>John G. Schumacher</span></h3>
    <h4>
    <span>Director, UMBC Public Health Research Center<br></span><span>Dept. of Sociology, Anthropology, &amp; Public Health</span>
    </h4>
    </div>
    <h4><span>5-6:30pm Thur., March 27, 2025, UMBC Library Gallery</span></h4>
    <div><span>Generative AI is fundamentally challenging higher education. The rapid evolution of tools like ChatGPT, Gemini, and Claude confronts us with urgent questions: How do we understand and use these tools?  How might we integrate these technologies effectively?  Where do we set the academic and ethical boundaries for their use?  This presentation explores the current generative AI landscape offering practical insights for educators and institutions. The goal is to outline a pragmatic, forward-looking approach to AI literacy that empowers both faculty and students.</span></div>
    <div><span><br></span></div>
    <div>
    <em>Organized by the Department of Sociology, Anthropology, and Public Health.  C</em><em>osponsored by the Center for Social Science Scholarship and the Dean’s Office of the College of Arts, Humanities, and Social Sciences. </em>
    </div>
    <div><em><br></em></div>
    <div><span><h4><span></span></h4></span></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>Generative AI &amp; Higher Education: Practical Insights for Today and Tomorrow   John G. Schumacher  Director, UMBC Public Health Research Center Dept. of Sociology, Anthropology, &amp; Public...</Summary>
<Website>https://my3.my.umbc.edu/groups/csss/events/140902</Website>
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<Sponsor>Department of Sociology, Anthropology, and Public Health</Sponsor>
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<PostedAt>Tue, 04 Mar 2025 09:40:34 -0500</PostedAt>
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<NewsItem contentIssues="true" id="147750" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/147750">
<Title>Talk: The AI Paradox, Dr. Virginia Dignum, 3/5</Title>
<Tagline>4-5pm ET, Wednesday, March 5, 2025, UMBC PAHB 216</Tagline>
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    <h2><span>The AI Paradox</span></h2>
    <div><div>
    <h3>Dr. Virginia Dignum, Umeå University</h3>
    <h4>4-5pm ET Wednesday, March 5, 2025<br>Performing Arts and Humanities 216, UMBC</h4>
    <div>This talk discussed the often contradictory nature of AI, exploring how its advancements highlight the irreplaceable qualities of human intelligence and the importance of governance.</div>
    <div><br></div>
    <div>We'll use key paradoxes, such as the <strong>Agreement Paradox</strong>, which questions why the more we discuss AI, the less we seem to agree on what it is. We'll also examine the <strong>Intelligence Paradox</strong>, revealing how AI's capabilities underscore what makes human intelligence unique. Furthermore, we'll tackle the <strong>Justice Paradox</strong>, addressing the challenge of achieving true fairness with AI, and the <strong>Regulation Paradox</strong>, which focuses on balancing innovation and oversight in the AI era.</div>
    <div><br></div>
    <div>All in all, an exploration of how paradoxes can help us uncover how AI shapes our world and how we can ensure it serves humanity ethically and equitably</div>
    <div><br></div>
    <div>
    <strong><a href="https://en.wikipedia.org/wiki/Virginia_Dignum" rel="nofollow external" class="bo">Virginia Dignum</a></strong> is Professor of Responsible Artificial Intelligence at Umeå University, Sweden where she leads the <a href="https://my3.my.umbc.edu/groups/dreshercenter/events/139560/a6c/6ba1c65dcf1c20195aac58e83c7f7a79/web/link?link=https%3A%2F%2Faipolicylab.se%2F" rel="nofollow external" class="bo"><strong>AI Policy Lab</strong></a>. She is also senior advisor on AI policy to the Wallenberg Foundations. She has a Ph.D. in Artificial Intelligence from Utrecht University in 2004, is member of the Royal Swedish Academy of Engineering Sciences (IVA), and Fellow of the European Artificial Intelligence Association (EURAI). She is a member of the United Nations Advisory Body on AI, the Global Partnership on AI (GPAI), UNESCO’s expert group on the implementation of AI recommendations, OECD’s Expert group on AI, founder of ALLAI, the Dutch AI Alliance, and co-chair of the WEF’s Global Future Council on AI. She was a member of EU’s High Level Expert Group on Artificial Intelligence and leader of UNICEF's guidance for AI and children. Her new book <em>The AI Paradox</em>, is planned for publication in 2025.</div>
    <div><span><br></span></div>
    <div>
    <span>This event is sponsored by the </span><a href="https://my3.my.umbc.edu/groups/dreshercenter/events/139560/a6c/ffe17c62573d624e353764b9d8a0838d/web/link?link=https%3A%2F%2Fmy3.my.umbc.edu%2Fgroups%2Fumbc-ai%2Fposts%2F147201%2F1711%2Fb9ce9ed525bda1cc922fade3bcb61467%2Fweb%2Flink%3Flink%3Dhttps%253A%252F%252Fbreakingthemold.umbc.edu%252F" rel="nofollow external" class="bo"><strong>Breaking the M.O.L.D.</strong> </a><span>initiative funded by the Mellon Foundation. </span><em>Co-sponsored by the Center for Social Science Scholarship and the Dresher Center for the Humanities.</em>
    </div>
    <div><em><br></em></div>
    </div></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>The AI Paradox    Dr. Virginia Dignum, Umeå University  4-5pm ET Wednesday, March 5, 2025 Performing Arts and Humanities 216, UMBC  This talk discussed the often contradictory nature of AI,...</Summary>
<Website>https://my3.my.umbc.edu/groups/dreshercenter/events/139560</Website>
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<Sponsor>Department of English</Sponsor>
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<PostedAt>Sat, 01 Mar 2025 21:56:27 -0500</PostedAt>
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