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  <NewsItem contentIssues="false" id="154122" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/154122">
  <Title>The Privacy Paradox of GenAI: What It Knows, Why It Matters, and How We Fight Back</Title>
  <Tagline>Roberto Yus, 12-1pm Wed. Nov 5, 2025, online</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><h4>The Privacy Paradox of GenAI: What It Knows, Why It Matters, and How We Fight Back</h4><h5>Roberto Yus, 12-1pm Wed. Nov 5, 2025, <a href="https://my3.my.umbc.edu/groups/library/events/144148" rel="nofollow external" class="bo">online</a></h5><p>Generative AI (<a href="https://en.wikipedia.org/wiki/Generative_artificial_intelligence" rel="nofollow external" class="bo"><strong>GenAI</strong></a>) systems like ChatGPT, Claude, and Gemini are transforming how we work, communicate, and create, but they also pose serious privacy concerns. These systems often absorb sensitive inputs, operate atop opaque training data, and may retain more than users realize. The real paradox is this: while GenAI can compromise our privacy, it can also be harnessed to help protect it.</p><p>This talk explores both sides of that paradox. We begin by examining what these systems "know", from how everyday prompts may reveal personal or proprietary information to how models process, store, or share data. We then discuss why these risks matter, both for individuals and institutions navigating a rapidly shifting AI landscape. But this is not just a critique, it's a call to action. We'll share practical recommendations for using GenAI tools more safely and privately. Then, we'll turn to new research from the<a href="https://damslabumbc.github.io/" rel="nofollow external" class="bo"> <strong>DAMS Lab</strong></a> that flips the script: using GenAI to interpret and explain complex corporate privacy policies, empowering users to make informed, privacy-conscious decisions. This talk is for anyone who wants to benefit from GenAI without surrendering control over their data, and who sees privacy not as a casualty of AI progress, but as a challenge AI itself can help us solve.</p><p><a href="https://damslabumbc.github.io/author/roberto-yus/" rel="nofollow external" class="bo"><strong>Roberto Yus</strong></a> is an Assistant Professor in UMBC's CSEE Department, where he leads the <a href="https://damslabumbc.github.io/" rel="nofollow external" class="bo"><strong>DAMS</strong></a> (DAta Management &amp; Semantics) research group. His research interests concern Data Management, Knowledge Representation, the Internet of Things, and Privacy. Specifically semantic and privacy preserving data management in IoT environments.</p><p><a href="https://my3.my.umbc.edu/groups/library/events/144148" rel="nofollow external" class="bo">Online</a></p><div><a href="https://umbc.webex.com/recordingservice/sites/umbc/recording/a2ec91b206504e2eb68791e950f95ec3/playback" rel="nofollow external" class="bo">Recording</a></div><div><a href="https://acrobat.adobe.com/link/track?uri=urn%3Aaaid%3Ascds%3AUS%3A2a8f2de3-7b70-3df7-93c6-93a055db219a" rel="nofollow external" class="bo">Slides</a></div></div>
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  <Summary>The Privacy Paradox of GenAI: What It Knows, Why It Matters, and How We Fight Back  Roberto Yus, 12-1pm Wed. Nov 5, 2025, online  Generative AI (GenAI) systems like ChatGPT, Claude, and Gemini are...</Summary>
  <Website>https://my3.my.umbc.edu/groups/library/events/144148</Website>
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  <Tag>ai</Tag>
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  <Tag>genai</Tag>
  <Tag>privacy</Tag>
  <Tag>talk</Tag>
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  <Group token="umbc-ai">UMBC AI</Group>
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  <PostedAt>Mon, 03 Nov 2025 08:41:30 -0500</PostedAt>
  <EditAt>Sat, 08 Nov 2025 11:48:57 -0500</EditAt>
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  <NewsItem contentIssues="false" id="153741" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/153741">
    <Title>Privacy and Cybersecurity - AI Ethics Foundation for the Everyday User</Title>
    <Tagline>video online from a talk by Ted Murphree</Tagline>
    <Body>
      <![CDATA[
          <div class="html-content"><p>AI is becoming more embedded in our daily lives - making everyday tasks easier and improving how we track and manage our health. But as these technologies grow more powerful, so do concerns about privacy and security. See a <a href="https://www.youtube.com/watch?v=GmG1xtL9ixg" rel="nofollow external" class="bo"><strong>video</strong></a> of a talk by Ted Murphree, Manager of Security and Privacy Compliance at an international law firm and adjunct professor at UMBC-Shady Grove, and  learn how everyday users can protect themselves from these risks.</p><p><br></p></div>
      ]]>
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    <Summary>AI is becoming more embedded in our daily lives - making everyday tasks easier and improving how we track and manage our health. But as these technologies grow more powerful, so do concerns about...</Summary>
    <Website>https://www.youtube.com/watch?v=GmG1xtL9ixg</Website>
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    <Tag>ai</Tag>
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    <Group token="umbc-ai">UMBC AI</Group>
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    <Sponsor>UMBC AI</Sponsor>
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    <PostedAt>Tue, 21 Oct 2025 09:41:06 -0400</PostedAt>
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  <NewsItem contentIssues="false" id="152032" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/152032">
    <Title>Talk: Existing Risks of Generative AI and Surveying Public Perceptions</Title>
    <Tagline>online 11-12 EDT Fri. Sept 5 by CWIT Alum Wendy Bickersteth</Tagline>
    <Body>
      <![CDATA[
          <div class="html-content"><span><p><span>UMBC <a href="https://cwit.umbc.edu/" rel="nofollow external" class="bo">CWIT</a> alumna <a href="https://www.linkedin.com/in/wendy-bickersteth-15b374219/" rel="nofollow external" class="bo">Wendy Bickersteth</a> will give an online talk on </span><span>Existing Risks of Generative AI and Surveying Public Perceptions </span><span>on Friday, September 5, 2025, from 11am-12pm EDT. </span><span>She is currently a Societal Computing PhD student at the Carnegie Mellon University </span><a href="https://www.cylab.cmu.edu/" rel="nofollow external" class="bo"><span>CyLab Security and Privacy Institute</span></a><span>.</span></p><p><span>Working with Dr. Lorrie Cranor, she conducts research on usable privacy and security, focusing on privacy labels and the use of AI. Read more about this work in this recent </span><a href="https://arxiv.org/abs/2505.22073" rel="nofollow external" class="bo"><span>paper</span></a><span>.</span></p><p><span>Join the online event via this </span><a href="https://my3.my.umbc.edu/groups/cwitaffiliates/events/145564/join_meeting" rel="nofollow external" class="bo"><span>WebEx link</span></a><span>.</span></p><div><span><br></span></div></span></div>
      ]]>
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    <Summary>UMBC CWIT alumna Wendy Bickersteth will give an online talk on Existing Risks of Generative AI and Surveying Public Perceptions on Friday, September 5, 2025, from 11am-12pm EDT. She is currently a...</Summary>
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    <Tag>ai</Tag>
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    <Group token="umbc-ai">UMBC AI</Group>
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    <PostedAt>Thu, 04 Sep 2025 09:16:48 -0400</PostedAt>
    <EditAt>Thu, 04 Sep 2025 09:22:08 -0400</EditAt>
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  <NewsItem contentIssues="true" id="148404" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/148404">
    <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[
          <div class="html-content"><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="false" id="147328" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/147328">
  <Title>Talk: Unveiling Privacy Risks in AI: Data, Models, and Systems</Title>
  <Tagline>11:30-12:30 &#8203;Friday, February 14 in ITE325b and online&#8203;</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><div><span><a href="https://www.cs.purdue.edu/homes/an93/" rel="nofollow external" class="bo">​Shengwei An</a> will give a talk on </span><strong>Unveiling Privacy Risks in AI: Data, Models, &amp; Systems</strong>, 11:30-12:30 <span>​Friday, February 14 in </span>ITE325b and <a href="https://my3.my.umbc.edu/groups/csee/events/140124/join_meeting" rel="nofollow external" class="bo">online</a><span>​.</span></div><div><br></div>Artificial Intelligence has become deeply integrated into diverse systems, transforming industries and reshaping our daily lives. However, this widespread adoption also introduces critical privacy risks across the training data, AI models, and AI-powered systems. This talk will explore privacy challenges through these three aspects. First, I will introduce the first high-fidelity attack that exposes the privacy vulnerabilities of training data in pre-trained models and commercial AI services. Next, I will present a novel physical impersonating attack that highlights the privacy risks inherent in AI-based authentication systems. Additionally, I will discuss the first data-free framework designed to eliminate trigger-based model watermarks in diffusion models that aim to protect their intellectual property. Finally, I will conclude with a forward-looking perspective on addressing privacy risks in emerging generative AI techniques, such as Large Language Models and Stable Diffusion Models.<div><br><div><div><span><p><a href="https://www.cs.purdue.edu/homes/an93/" rel="nofollow external" class="bo"> Shengwei An</a> is a Ph.D. candidate in the Department of Computer Science at Purdue University, advised by Prof. Xiangyu Zhang. His research focuses on AI security and privacy, with an emphasis on designing state-of-the-art tools to investigate and mitigate privacy vulnerabilities in real-world AI systems. His work has been published in top-tier conferences, including S&amp;P, USENIX Security, NDSS, and AAAI. He is the recipient of the Ross Fellowship from Purdue University and the Best Paper Award in the ECCV 2022 AROW Workshop.</p></span></div></div></div>
    <hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a></div>
]]>
  </Body>
  <Summary>​Shengwei An will give a talk on Unveiling Privacy Risks in AI: Data, Models, &amp; Systems, 11:30-12:30 ​Friday, February 14 in ITE325b and online​.    Artificial Intelligence has become deeply...</Summary>
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  <PostedAt>Thu, 13 Feb 2025 17:35:09 -0500</PostedAt>
  <EditAt>Fri, 14 Feb 2025 09:41:00 -0500</EditAt>
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  <NewsItem contentIssues="true" id="145125" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/145125">
  <Title>Talk: FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation</Title>
  <Tagline>1-2 pm EDT Friday, November 1, 2024, online</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><h5><strong><a href="https://cisa.umbc.edu/" rel="nofollow external" class="bo">UMBC Cyber Defense Lab</a> presents</strong></h5><div><br></div><h4>FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation</h4><div><br></div><h4>Dr. Keke Chen, UMBC</h4><div><br></div><h4>1-2 pm EDT Friday, Nov. 1, 2024, <a href="https://umbc.webex.com/meet/sherman" rel="nofollow external" class="bo">online</a></h4><div><br></div><h5><strong>Joint work with PhD students Ethan Gu and Jiajie He</strong></h5><div><br></div><div>I will briefly discuss our demo system recently accepted by <a href="https://www.sigsac.org/ccs/CCS2024/" rel="nofollow external" class="bo"><strong>CCS 2024</strong></a> that estimates privacy risks of participating in a machine learning task. As many AI models depend on sensitive training data (e.g., identifiable images and text conversations), privacy has increasingly been a major concern in the AI era. Methods like differential privacy allow users to quantify the acceptable privacy loss, which may also lead to significant utility loss. As a result, controlled data access is still the mainstream method for protecting data privacy or controlling privacy leakage in industrial and research settings.  However, there is no quantitative measure for individual data contributors to tell their privacy risks before participating in a machine learning task. We developed the demo prototype FT-PrivacyScore to efficiently and quantitatively estimate the privacy risk of participating in a model fine-tuning task. With FT-PrivacyScore, participants and data consumers can prepare proactively to ensure better protected privacy.</div><div><br></div><div><a href="https://sites.google.com/view/kekechen" rel="nofollow external" class="bo"><strong>Dr. Keke Chen</strong></a> is an associate professor in the CSEE Department at UMBC. His recent research focuses on privacy and security issues with AI model training and deployment. He earned his Ph.D. in computer science from Georgia Tech in 2006. Before joining UMBC, he was a Northwestern Mutual associate professor of computer science at Marquette University. Email: <a href="mailto:kekechen@umbc.edu">kekechen@umbc.edu</a></div><div><br></div><div>Host: Alan T. Sherman, <a href="mailto:sherman@umbc.edu">sherman@umbc.edu</a>. Support for this event was provided in part by the NSF under SFS grant DGE-1753681. The <a href="https://cisa.umbc.edu/" rel="nofollow external" class="bo">UMBC <strong>Cyber Defense Lab</strong></a> meets biweekly Fridays 12-1pm. All meetings are open to the public. Upcoming CDL meetings: Nov. 15, Houbing Song (IS, UMBC) Dec. 6, Zhiuan Chen (IS, UMBC)</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>UMBC Cyber Defense Lab presents     FT-PrivacyScore: Personalized Privacy Scoring for Machine Learning Participation     Dr. Keke Chen, UMBC     1-2 pm EDT Friday, Nov. 1, 2024, online     Joint...</Summary>
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  <Tag>fine-tuning</Tag>
  <Tag>machine-learning</Tag>
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  <NewsItem contentIssues="false" id="141156" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/141156">
  <Title>Looking Out for Your Data Privacy, 12-1 ET Monday April 22</Title>
  <Tagline>UMBC AI, Privacy, and Ethics Symposium</Tagline>
  <Body>
    <![CDATA[
    <div class="html-content"><div><strong><a href="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/03/Privacy-Ethics-Symposium-Flier_April-2024.pdf" rel="nofollow external" class="bo">UMBC AI, Privacy, and Ethics Symposium</a></strong></div><div><br></div><h4><strong>Looking Out for Your Data Privacy<br></strong><strong>Amy Swackhamer<br></strong><br><strong>12-1pm ET, Monday, April 22, 2024</strong></h4><div><br></div><div>Join University of Maryland, College Park's Web Librarian, <a href="https://www.linkedin.com/in/aswackhamer/" rel="nofollow external" class="bo"><strong>Amy Swackhamer,</strong></a> as she gives a brief background into the current state of digital data privacy concerns, including developments in technology and laws, and reasons to care about your data privacy. Most of our time will focus on different vectors of data surveillance, such as web browsing, smartphone apps and location data, social media, and password management, and steps for protecting your personal data from intrusion through those vectors. </div><div><br></div><div>Amy will mention sources for more information and provide an annotated resource list with details about organizations working in this area, books and websites focused on privacy, and other places to learn more.</div><div><br></div><div>Join the online presentation <strong><a href="https://my3.my.umbc.edu/groups/library/events/127073/join_meeting" rel="nofollow external" class="bo">here</a></strong>.</div><div><br><hr><a href="https://ai.umbc.edu/" rel="nofollow external" class="bo">UMBC Center for AI</a></div></div>
]]>
  </Body>
  <Summary>UMBC AI, Privacy, and Ethics Symposium     Looking Out for Your Data Privacy Amy Swackhamer  12-1pm ET, Monday, April 22, 2024     Join University of Maryland, College Park's Web Librarian, Amy...</Summary>
  <Website>https://my3.my.umbc.edu/groups/library/events/127073</Website>
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  <PostedAt>Sat, 20 Apr 2024 11:06:33 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="140598" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/140598">
  <Title>AI, Privacy &amp; Ethics Symposium, Dr. Ray Pun, 12-1 ET Mon 4/8</Title>
  <Tagline>The Librarian is In: Q&amp;A with Ray Pun on All Things AI</Tagline>
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    <![CDATA[
    <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/03/aok_ai.png" style="max-width: 100%; height: auto;"></div><hr><span><div><span><br></span></div>Please join the UMBC Library staff as they interview <strong><a href="https://aldergse.edu/profiles/raymond-pun/" rel="nofollow external" class="bo">Dr. Ray Pun</a></strong> on all things <strong>AI</strong>! Do you have any burning questions about ChatGPT and other LLMs? What does the current landscape in libraries and higher education look like with the presence of AI? What about artificial intelligence and its impact on the environment? </span><div><span><br></span></div><div><span>Ray has presented and spoken on the complexities and ethics of AI in numerous webinars and conferences, which include the following recent events </span><span>among many others.</span></div><div><ul><li><span><a href="https://www.aserl.org/event/an-endless-game-of-catch-up-exploring-the-impact-of-chatgpt-on-research-and-learning-in-higher-education/" rel="nofollow external" class="bo">An Endless Game on Catch-Up: Exploring the Impact of ChatGPT on Research and Learning in Higher Education</a> </span></li><li><span><a href="https://www.amicalnet.org/events/genai-tools-in-higher-ed" rel="nofollow external" class="bo">Generative AI Tools in Higher Education: Disruptors and Innovators? A Virtual Forum</a></span></li><li><span><a href="https://www.youtube.com/watch?v=c_e8fw0KSBY" rel="nofollow external" class="bo">ChatGPT and Other AI Tools Impacting Academic and Research Libraries: Questions to Consider</a> </span></li><li><span><a href="https://www.youtube.com/watch?v=IBetN9z9y4k" rel="nofollow external" class="bo">AI Tools from Text to Image Services</a></span></li></ul><span>Bring your curious AI queries to this online Q&amp;A session hosted at UMBC with Ray!</span></div><div><span><br></span></div><div><span>This event is part of a series of online events on <a href="https://my3.my.umbc.edu/groups/llc/posts/139644" rel="nofollow external" class="bo"><strong>AI, privacy and ethics</strong></a> hosted by the UMBC AOK Library on every Monday at noon in April, 2024.</span></div><div><span><br></span></div><div><span>Join the online event on WebEx <strong><a href="https://my3.my.umbc.edu/groups/library/events/127068/join_meeting" rel="nofollow external" class="bo">here</a></strong>.</span></div></div>
]]>
  </Body>
  <Summary>Please join the UMBC Library staff as they interview Dr. Ray Pun on all things AI! Do you have any burning questions about ChatGPT and other LLMs? What does the current landscape in libraries and...</Summary>
  <Website>https://my3.my.umbc.edu/groups/library/events/127068</Website>
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  <PostedAt>Fri, 05 Apr 2024 10:22:31 -0400</PostedAt>
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  <NewsItem contentIssues="true" id="140277" important="false" status="posted" url="https://dev.my.umbc.edu/groups/umbc-ai/posts/140277">
    <Title>UMBC AOK Library symposia on AI, Privacy, and Ethics</Title>
    <Tagline>12-1pm ET every Monday in April 2024, online</Tagline>
    <Body>
      <![CDATA[
          <div class="html-content"><div><img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2024/03/aok_ai.png" style="max-width: 100%; height: auto;"></div><div><hr></div><div>The UMBC library has organized an online symposium series on <a href="https://my3.my.umbc.edu/groups/csss/posts/139128" rel="nofollow external" class="bo"><strong>AI, Privacy and Ethics</strong></a> that will take place from <strong>12-1 pm ET</strong> each <strong>Monday in</strong> <strong>April, 2024.</strong> The five sessions are:</div><div><ul><li><strong>April 1:</strong> "After 75 Years of AI, Can Machines Think?" with Tim Finlin</li><li><strong>April 8: </strong>"The Librarian is In: Q&amp;A with Ray Pun on All Things AI"</li><li><strong>April 15:</strong> "The GPT Dilemma: Navigating the Pros, Cons, and Impacts on Learning" with Karen Chen.</li><li><strong>April 22:</strong> "Looking Out for Your Data Privacy" with Amy Swackhamer.  </li><li><strong>April 29:</strong> "ChatGPT and AI in Research, Education, and the Classroom" with Rachael Kang.  </li></ul></div></div>
      ]]>
    </Body>
    <Summary>The UMBC library has organized an online symposium series on AI, Privacy and Ethics that will take place from 12-1 pm ET each Monday in April, 2024. The five sessions are:    April 1: "After 75...</Summary>
    <Website>https://my3.my.umbc.edu/groups/csss/posts/139128</Website>
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    <Tag>ai</Tag>
    <Tag>artificial-intelligence</Tag>
    <Tag>ethics</Tag>
    <Tag>privacy</Tag>
    <Tag>symposium</Tag>
    <Group token="umbc-ai">UMBC AI</Group>
    <GroupUrl>https://dev.my.umbc.edu/groups/umbc-ai</GroupUrl>
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    <Sponsor>UMBC AI</Sponsor>
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    <PostedAt>Wed, 27 Mar 2024 21:53:36 -0400</PostedAt>
    <EditAt>Thu, 28 Mar 2024 08:04:57 -0400</EditAt>
  </NewsItem>
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