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<NewsItem contentIssues="true" id="146520" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146520">
<Title>AI in the UMBC Classroom, 12-1 Jan. 15</Title>
<Tagline>UMBC Winter Session Beyond the Classroom online series</Tagline>
<Body>
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    <div>There's a lot of talk about AI in the classroom, but what do we mean by that? What is the "AI" we are talking about? How and when might we use AI to enhance our teaching and learning while keeping it from replacing us as teachers and students? Join <a href="https://my3.my.umbc.edu/groups/umbc-ai/posts/146520/a6c/1dea2e3476ebfb8ae8a1f72b0b45d5cd/web/link?link=https%3A%2F%2Fenglish.umbc.edu%2Fcore-faculty%2Ftanya-olson%2F" rel="nofollow external" class="bo"><strong>Dr. Tanya Olson</strong></a> for a discussion and a look towards the future. </div>
    <div><span><br></span></div>
    <div>
    <span>The session will be online from 12-1pm ET, on Wednesday, January 15, 2025. Use this</span><span> </span><a href="https://my3.my.umbc.edu/groups/summerspecialprograms/events/137013/join_meeting" rel="nofollow external" class="bo"><strong>link</strong></a><span> to join the online session. </span>
    </div>
    <div><br></div>
    <div>
    <strong><a href="https://english.umbc.edu/core-faculty/tanya-olson/" rel="nofollow external" class="bo">Tanya Olson</a></strong> lives in Silver Spring, Maryland and is a Senior Lecturer in English at UMBC. Olson holds an M.A. in Anglo-Irish Literature from University College, Dublin and the Ph.D. in 20th-Century British Literature from the University of North Carolina-Greensboro. She has taught first-year composition, technical communication, and creative nonfiction classes in the North Carolina Community College system and University System of Maryland and currently serves as the director of WARD (Writing and Rhetoric Division) at UMBC.</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>There's a lot of talk about AI in the classroom, but what do we mean by that? What is the "AI" we are talking about? How and when might we use AI to enhance our teaching and learning while keeping...</Summary>
<Website>https://my3.my.umbc.edu/groups/summerspecialprograms/events/137013</Website>
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<Tag>ai</Tag>
<Tag>classroon</Tag>
<Tag>learning</Tag>
<Tag>teaching</Tag>
<Tag>umbc</Tag>
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<Sponsor>Winter Session: Beyond the Classroom</Sponsor>
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<PostedAt>Fri, 10 Jan 2025 17:17:31 -0500</PostedAt>
<EditAt>Fri, 10 Jan 2025 17:52:46 -0500</EditAt>
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<NewsItem contentIssues="true" id="146462" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146462">
<Title>Benchmarks that have been killed by LLM based systems</Title>
<Body>
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    <img src="https://ai.umbc.edu/wp-content/uploads/sites/734/2025/01/killed_by_llm.png" style="max-width: 100%; height: auto;"><div><br></div>
    <div><span><p><a href="https://r0bk.github.io/killedbyllm/" rel="nofollow external" class="bo"><span><strong>Killed by LLM</strong></span></a><span> is a project that documents public AI benchmarks that LLM-based AI systems have largely solved since 2018.  Getting killed means that a benchmark no longer measures the frontier of AI technology as a challenge asking "Can AI do X?", but might still be a useful tool. Links to papers documenting fallen benchmarks are provided.</span></p>
    <span>The project is on </span><a href="https://github.com/R0bk/killedbyllm" rel="nofollow external" class="bo"><span><strong>GitHub</strong></span></a><span>, and other people are invited to contribute new benchmarks that have been overcome.</span></span></div>
    <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>
]]>
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<Summary>Killed by LLM is a project that documents public AI benchmarks that LLM-based AI systems have largely solved since 2018.  Getting killed means that a benchmark no longer measures the frontier of...</Summary>
<Website>https://r0bk.github.io/killedbyllm/</Website>
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<PostedAt>Tue, 07 Jan 2025 09:18:50 -0500</PostedAt>
<EditAt>Tue, 07 Jan 2025 09:20:46 -0500</EditAt>
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<NewsItem contentIssues="true" id="146429" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146429">
<Title>Blackboard Ultra's AI Course Design Assistant Tool, 12-1pm January 8</Title>
<Tagline>AI-inspired assessment, question banks, journal, rubrics</Tagline>
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<![CDATA[
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    <p>Have you wondered how AI technology could transform your course preparation? Blackboard <span><a href="https://my3.my.umbc.edu/groups/instructional-technology/events/136590/a6c/d3edbbea53873aed573ea94e47404da0/web/link?link=https%3A%2F%2Fhelp.blackboard.com%2FLearn%2FInstructor%2FUltra%2FCourse_Content%2FCreate_Content%2FAI_Design_Assistant" rel="nofollow external" class="bo"><strong>AI Course Design Assistant Tools</strong></a></span> are available for instructors in Ultra courses.<span> </span>In a 30-minute online quick start session, discover how you can leverage integrated AI tools to create engaging learning experiences in Ultra courses. Instructional Technology staff invites faculty to preview a suite of new AI Course Design Assistant features designed to inspire and assist faculty in streamlining the course development process. Stay after for Q&amp;A.</p>
    <p><span>This session will be facilitated by instructional technology specialist <a href="https://my3.my.umbc.edu/groups/instructional-technology/events/136590/a6c/83f84274972897b9edfb1f556fadc0e4/web/link?link=https%3A%2F%2Fedtech.umbc.edu%2Fabout%2Fstaff%2Famudzi%2F" rel="nofollow external" class="bo"><strong>Ben Amudzi</strong></a> and has the following objectives.</span></p>
    <ul>
    <li><span>Explore the seamless workflow to generate course structure and images </span></li>
    <li><span>Input learning objectives to guide the AI creation process</span></li>
    <li><span>Create test questions, question banks, and grading rubrics</span></li>
    <li><span>Generate authentic journal, discussion, and assignment prompts</span></li>
    <li>
    <span>Review </span><a href="https://my3.my.umbc.edu/groups/instructional-technology/events/136590/a6c/51169878f3d1f19410cbd7c11b9c01de/web/link?link=https%3A%2F%2Fwww.anthology.com%2Ftrust-center%2Ftrustworthy-ai-approach" rel="nofollow external" class="bo"><strong>Anthology’s Trustworthy AI Approach</strong></a>
    </li>
    </ul>
    <h4>
    <strong>Register <a href="https://my3.my.umbc.edu/groups/instructional-technology/events/136590" rel="nofollow external" class="bo">here</a> </strong>for this online event.</h4>
    <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>Have you wondered how AI technology could transform your course preparation? Blackboard AI Course Design Assistant Tools are available for instructors in Ultra courses. In a 30-minute online quick...</Summary>
<Website>https://my3.my.umbc.edu/groups/instructional-technology/events/136590</Website>
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<Tag>ai</Tag>
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<Tag>teaching</Tag>
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<Sponsor>UMBC Instructional Technology</Sponsor>
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<PostedAt>Tue, 31 Dec 2024 18:04:32 -0500</PostedAt>
<EditAt>Wed, 01 Jan 2025 08:13:20 -0500</EditAt>
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<NewsItem contentIssues="true" id="146418" important="false" status="posted" url="https://my3.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>
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    <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>
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<PostedAt>Sat, 28 Dec 2024 12:16:18 -0500</PostedAt>
<EditAt>Sat, 28 Dec 2024 12:59:09 -0500</EditAt>
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<NewsItem contentIssues="true" id="146371" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146371">
<Title>Google's five-day Generative AI intensive course</Title>
<Tagline>Now a free, self-paced learning program at Kaggle</Tagline>
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    <span>Google's five day Generative AI Intensive Course is now available as a free, self-paced learning program on Kaggle for anyone interested in learning about the fundamental technologies and techniques behind the latest Generative AI technology. </span><a href="https://www.kaggle.com/learn-guide/5-day-genai" rel="nofollow external" class="bo"><strong>Get more information here</strong></a><span>.</span><div><span><br></span></div>
    <div>
    <span>Here's what the course covers</span><div><div><ul>
    <li>
    <strong>Day 1:</strong> Foundational Models &amp; Prompt Engineering - Explore the evolution of LLMs, from transformers to techniques like fine-tuning and inference acceleration. Get trained with the art of prompt engineering for optimal LLM interaction.<br><br>
    </li>
    <li>
    <strong>Day 2:</strong> Embeddings and Vector Stores/Databases - Learn about the conceptual underpinning of embeddings and vector databases, including embedding methods, vector search algorithms, and real-world applications with LLMs, as well as their tradeoffs.<br><br>
    </li>
    <li>
    <strong>Day 3: </strong>Generative AI Agents - Learn to build sophisticated AI agents by understanding their core components and the iterative development process.<br><br>
    </li>
    <li>
    <strong>Day 4:</strong> Domain-Specific LLMs - Delve into the creation and application of specialized LLMs like SecLM and Med-PaLM, with insights from the researchers who built them.<br><br>
    </li>
    <li>
    <strong>Day 5:</strong> MLOps for Generative AI - Discover how to adapt MLOps practices for Generative AI and leverage Vertex AI's tools for foundation models and generative AI applications.</li>
    </ul></div></div>
    <div><span><br></span></div>
    <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>Google's five day Generative AI Intensive Course is now available as a free, self-paced learning program on Kaggle for anyone interested in learning about the fundamental technologies and...</Summary>
<Website>https://www.kaggle.com/learn-guide/5-day-genai</Website>
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<NewsItem contentIssues="true" id="146346" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146346">
<Title>Managing the Uncertainty of the Exponential Technology Age</Title>
<Tagline>AI Lunchbox, 12-1pm ET, Thur December 19, 2024 online</Tagline>
<Body>
<![CDATA[
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    <h3><span>Managing Uncertainty of the Exponential Technology Age</span></h3>
    <h4>
    <span><strong>AI Lunchbox, 12-1pm ET<br></strong></span><span><strong>Thursday December 19, 2024, online</strong></span>
    </h4>
    <div><span><br></span></div>
    <div><span><br></span></div>
    <div><span>Artificial Intelligence is a catalyst for breakthroughs in other technologies, leading to unprecedented change. In this AI Lunchbox session of the UMBC Training Centers Center for Applied AI, <a href="https://www.linkedin.com/in/erwinagodoy/" rel="nofollow external" class="bo"><strong>Erwin Godoy</strong></a> will look at how AI advancing other exponential technologies, the combine changes they could bring, and discusses practical ways to thrive through the unprecedented changes.</span></div>
    <div><span><br></span></div>
    <div><span>Erwin A. Godoy is an entrepreneurial executive with nearly 30 years of experience in driving product innovation and growth. Known for his strategic thinking and ability to lead high-performance teams, he specializes in incubating products in fast-paced, uncertain environments. Currently, Erwin is a Strategic Advisor at the Center for Applied Artificial Intelligence at UMBC, where he advises on AI strategy and business model innovation.</span></div>
    <div><span><br></span></div>
    <div><span>Register for this free online session <a href="https://c4ai.umbctraining.com/event/managing-the-uncertainty-of-the-exponential-technology-age/" rel="nofollow external" class="bo"><strong>here</strong></a>.</span></div>
    <div><span><br></span></div>
    <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
</Body>
<Summary>Managing Uncertainty of the Exponential Technology Age  AI Lunchbox, 12-1pm ET Thursday December 19, 2024, online        Artificial Intelligence is a catalyst for breakthroughs in other...</Summary>
<Website>https://www.meetup.com/c4a-ai/events/304024722</Website>
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<Sponsor>UMBC Training Centers</Sponsor>
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<NewsItem contentIssues="true" id="146132" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146132">
<Title>CodeBot '25: Can We Trust AI-Generated Code? 2/25-26</Title>
<Tagline>Workshop Feb. 25-26, 2025 in Columbia, MD and online</Tagline>
<Body>
<![CDATA[
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    <div>
    <div><h3><strong>Can We Trust AI-Generated Code?</strong></h3></div>
    <h5><strong>Workshop sponsored by UMBC &amp; Army Research Laboratory</strong></h5>
    <h5>
    <span>Feb. 25-26, 2025 </span><span>UMBC Training Centers, Columbia, MD &amp; online<br><br><p>
    position paper deadline extended to 1/20/2025</p></span>
    </h5>The era of generative AI is upon us, and chatbots such as chatGPT are being used by programmers at all levels of experience to produce code.  Some generative AI systems, such as <a href="https://cloud.google.com/gemini/docs/codeassist/overview" rel="nofollow external" class="bo"><strong>Gemini Code Assist</strong></a>, specialize in code generation.  Unfortunately, AI-generated code often contains errors in the form of functionality that fails to meet specifications or vulnerabilities that can be exploited by hackers.  People have been working on program verification and secure coding for sixty years, but even so, the skill needed to find such errors is possessed by only a fraction of software engineers, and these skills are not being passed on to student programmers as they should be.<br><br>The goal of this FREE workshop is to gather and produce actionable ideas and suggestions that may be of use to the IT profession.  The workshop will consist of invited speakers, panels, and open discussion. </div>
    <div><br></div>
    <div>
    <strong>We invite would-be participants to submit short position papers offering comments, observations, experiences, and suggestions that pertain to any or all of the following workshop themes:</strong><br><ol>
    <li>What is or could be done to make AI-generated code more trustworthy, from the perspective of functionality and/or cybersecurity?</li>
    <li>How can we do better at instilling the ideas and tools of secure development into the software profession?</li>
    <li>Being able to produce quality code, with or without the aid of AI, seems to be related to system skills in general. How can we do better at giving students these skills before (or as) they enter the workplace?</li>
    </ol>Position papers should limited to three pages and submitted according to this <a href="https://docs.google.com/document/d/11nr-Zy2MPObMYihN2x_v2jS7EcUkOLXm/edit?usp=sharing&amp;ouid=117342243438066964240&amp;rtpof=true&amp;sd=true" rel="nofollow external" class="bo"><strong>template</strong></a>.  Submit your position paper via email to <a href="mailto:codebot25@umbc.edu" rel="nofollow external" class="bo"><strong>codebot25@umbc.edu</strong></a> after <strong><a href="https://forms.gle/CipmPbbBVBLfHc728" rel="nofollow external" class="bo">registering</a> </strong>for the workshop.</div>
    <div><br></div>
    <div>The organizing committee will select several papers for live presentation at the workshop. Selection will be based on relevance to the workshop themes, technical merit, and perceived interest to the audience.  Position papers that are mere marketing pieces will not be considered, but descriptions of hardware and software solutions tying into the themes described above are welcome. Limited travel support may be available for non-local speakers. Position papers and summaries of the discussions that follow will make up the core of the workshop report.<br><br>UMBC students, both graduate or undergraduate, are welcome to submit position papers that describe their own personal experience and observations with AI-generated code in their own words.  Students may include their resumes with position papers if they wish to have their work/resume circulated to other attendees.  Domestic and international students are welcome to participate in this workshop.<br><br><strong>Important Dates:</strong><br>
    </div>
    <div>  <strong>Position paper submission deadline: January 20, 2025</strong>
    </div>
    <div>
    <strong>  </strong> P̶o̶s̶i̶t̶i̶o̶n̶ p̶a̶p̶e̶r̶ s̶u̶b̶m̶i̶s̶s̶i̶o̶n̶ d̶e̶a̶d̶l̶i̶n̶e̶:̶ J̶a̶n̶u̶a̶r̶y̶ 7̶, 2̶0̶2̶5̶<br>  Notice of acceptance: January 31, 2025<br>  Registration deadline: February 18, 2025<br>    (no registration fee, but space is limited)<br>  Workshop dates: February 25-26, 2025<br><br>The workshop will take place at <strong><a href="https://www.umbctraining.com/" rel="nofollow external" class="bo">UMBC Training Centers</a></strong>, 6996 Columbia Gateway Dr #100, Columbia, MD 21046</div>
    <div><br></div>
    <div>
    <strong>REGISTER </strong>@ <a href="https://forms.gle/CipmPbbBVBLfHc728" rel="nofollow external" class="bo"><strong>https://forms.gle/CipmPbbBVBLfHc728</strong></a><br><br><strong>In-person space is limited, so register early! Based on RSVPs received, the organizing committee reserves the right to be selective in whom it selects to join the in-person meeting.</strong>
    </div>
    <div>
    <br>Instructions for virtual participation will be made available prior to the workshop.<br><br><strong>Organizing Committee:</strong><br>  Prajna Bhandary, UMBC<br>  Mike De Lucia, Army Research Laboratory<br>  Richard Forno, UMBC<br>  Lindsay Gaughan, UMBC Training Centers<br>  Cynthia Matuszek, UMBC<br>  Charles Nicholas, UMBC<br>  Steve Simske, Colorado State University<br>  Larry Wagoner, Dept. of Defense<br>  Linda Kidder Yarlott, UMBC<br>  Paul Yu, Army Research Laboratory<br><br>
    </div>
    <div>Questions? Send email to <a href="mailto:codebot25@umbc.edu" rel="nofollow external" class="bo"><strong>codebot25@umbc.edu</strong></a>
    </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>Can We Trust AI-Generated Code?   Workshop sponsored by UMBC &amp; Army Research Laboratory  Feb. 25-26, 2025 UMBC Training Centers, Columbia, MD &amp; online    position paper deadline extended...</Summary>
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<Sponsor>UMBC and Army Research Laboratory</Sponsor>
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<PostedAt>Sat, 07 Dec 2024 09:36:27 -0500</PostedAt>
<EditAt>Tue, 07 Jan 2025 16:58:41 -0500</EditAt>
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<NewsItem contentIssues="true" id="146067" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146067">
<Title>Talk: The Future with AI: Balancing Opportunity and Inequity, 12/11</Title>
<Tagline>12-1pm EST, Wednesday, December 11, 2024, online</Tagline>
<Body>
<![CDATA[
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    <span><h3><span>The Future with AI: Balancing Opportunity and Inequity</span></h3>
    <h4><span>Denise Turley, U.S. Chamber of Commerce</span></h4>
    <h4><span>12-1pm EST, Wed., December 11, 2024, online</span></h4>
    <p><br></p>
    <p><span>In this <strong>AI in Practice</strong> series session, </span><span>Dr. </span><a href="https://www.linkedin.com/in/dr-denise-turley/" rel="nofollow external" class="bo"><span>Denise Turley</span></a><span> will explore how Al is transforming business and education, offering personalized learning, improving accessibility, and expanding opportunities for underserved communities. However, as Al becomes more integrated, it can also introduce biases, widen the digital divide, and pose privacy concerns. <strong>Register at </strong></span><strong><a href="http://bit.ly/AiP-Dec11" rel="nofollow external" class="bo"><span>bit.ly/AiP-Dec11</span></a>.</strong></p>
    <p><span>As Vice President of Corporate Systems at the U.S. Chamber of Commerce, Dr. Turley drives the strategic development of enterprise-wide technology solutions. Her leadership extends beyond the corporate realm into academia, where she serves as an assistant professor at the University of the Southwest, guiding future leaders through inclusive and technology-driven educational practices.</span></p></span> <hr>
    <a href="https://ai.umbc.edu/" rel="nofollow external" class="bo"><strong>UMBC Center for AI</strong></a>
    </div>
]]>
</Body>
<Summary>The Future with AI: Balancing Opportunity and Inequity  Denise Turley, U.S. Chamber of Commerce  12-1pm EST, Wed., December 11, 2024, online     In this AI in Practice series session, Dr. Denise...</Summary>
<Website>https://ai.umbc.edu/wp-content/uploads/sites/734/2024/12/AI_in_practice.png</Website>
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<NewsItem contentIssues="true" id="146044" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/146044">
<Title>AI Lunchbox: Security Risk in AI/ML, 12/12</Title>
<Tagline>12:00-1:00 pm EST, Thursday, December 12, 2024</Tagline>
<Body>
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    <span>In the AI Lunchbox session </span><span><strong>Security Risk in AI/ML</strong></span><span>, participants will learn about attacks on AI models and how to defend against them. Designed for a general audience, this presentation will teach participants how to incorporate AI security risk into their organizational strategy and AI development workflows. </span><a href="https://www.linkedin.com/in/randyabernethy/" rel="nofollow external" class="bo"><span>Randy Abernethy</span></a><span> from </span><a href="https://rx-m.com/" rel="nofollow external" class="bo"><span>RX-M, LLC</span></a><span> will be a speaker.</span>
    </div>
    <div><span><br></span></div>
    <div><span><p><span><span>The session will be held online from 12 to 1 p.m. EST on December 12, 2024. Register <a href="https://c4ai.umbctraining.com/event/security-risk-in-ai-ml/" rel="nofollow external" class="bo"><strong>here</strong></a> to receive a link to the</span><span> event from the UMBC Training Centers </span><a href="https://c4ai.umbctraining.com/" rel="nofollow external" class="bo"><span>Center for Applied AI</span></a><span>.</span></span></p></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>In the AI Lunchbox session Security Risk in AI/ML, participants will learn about attacks on AI models and how to defend against them. Designed for a general audience, this presentation will teach...</Summary>
<Website>https://c4ai.umbctraining.com/event/security-risk-in-ai-ml/</Website>
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<PostedAt>Wed, 04 Dec 2024 09:55:09 -0500</PostedAt>
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<NewsItem contentIssues="true" id="145979" important="false" status="posted" url="https://my3.my.umbc.edu/groups/umbc-ai/posts/145979">
<Title>Stanford's HAI releases its 7th annual AI Index Report</Title>
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    <div>Stanford's Institute for Human-Centered Artificial Intelligence (<a href="https://hai.stanford.edu/" rel="nofollow external" class="bo"><strong>HAI</strong></a>) released its seventh annual <strong>AI Index Report</strong>, which tracks, collates, distills, and visualizes AI-related data. Get the report and its underlying public data and charts <a href="https://aiindex.stanford.edu/report/" rel="nofollow external" class="bo"><strong>here</strong></a>. </div>
    <div><br></div>
    <div>The report's top ten takeaways are:</div>
    <div><ol>
    <li>AI beats humans on some tasks but not on all.</li>
    <li>Industry continues to dominate frontier AI research.</li>
    <li>Frontier models get way more expensive.</li>
    <li>The US leads China, the EU, and the U.K. as the leading source of top AI models.</li>
    <li>Robust and standardized evaluations for LLM responsibility are seriously lacking.</li>
    <li>Generative AI investment skyrockets.</li>
    <li>The data is in: AI makes workers more productive and leads to higher quality work.</li>
    <li>Scientific progress accelerates even further, thanks to AI.</li>
    <li>The number of AI regulations in the United States sharply increases.</li>
    <li>People across the globe are more cognizant of AI’s potential impact—and more nervous.</li>
    </ol></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>Stanford's Institute for Human-Centered Artificial Intelligence (HAI) released its seventh annual AI Index Report, which tracks, collates, distills, and visualizes AI-related data. Get the report...</Summary>
<Website>https://aiindex.stanford.edu/report/</Website>
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<PostedAt>Mon, 02 Dec 2024 10:34:21 -0500</PostedAt>
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