Tag: Artificial Intelligence (AI) services

Countdown to Workday: Hot topics and a Peek of What’s to Come

Alumni Lounge

With Workday implementation on the horizon, join us for hot topics of interest to the IT community, followed by open Q&A. Get information on Ancillary Systems resources, professional development opportunities, the data and reporting landscape, future state support models and more.

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Present Harms and Future Risks: A Case for Responsible AI

Lee Lounge/109

In our session, we will:

  1. Provide an overview of present-day AI capabilities and the risks and harms stemming from their increasingly widespread adoption, and give an approachable introduction to concepts in AI Safety, Ethics, and Security.
  2. Present interactive, live demonstrations recently shown to Congressional Staffers in D.C. at the Center for AI Policy’s Advanced AI Expo. We will demonstrate the security risk of voice models that mimic emotional speech—posing threats to businesses, enabling floods of fake 911 calls, or misleading Congressional representatives through coordinated fake constituent campaigns. We will also show how integrating LLM agents into business workflows can create unique vulnerabilities in multi-agent systems.
  3. Demonstrate how, even at current capability levels, AI systems already pose significant risks relevant to IT professionals.
  4. Outline how AI capabilities have developed over recent years and present arguments for why this rapid pace will continue. We’ll briefly explore the implications for industry and society, including risks associated with frontier and future AI, and provide a high-level overview of mitigation efforts underway.

We will close with a discussion of our work at WAISI, how to get involved in responsible AI, and what this means for IT professionals.

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Collaborating and Planning for AI Across the Universities of Wisconsin

Alumni Lounge

Join representatives from UW-Milwaukee, UW–Madison and UW-Stout as we share our unique approaches to AI implementation on our campuses. Discover real-world techniques to engage with faculty and staff as they use AI. We’ll touch on ChatGPT integration, AI literacy initiatives, Microsoft Copilot pilots, and faculty research. Look beyond the here and now and learn how these institutions are planning for an AI-enhanced future across the Universities of Wisconsin.

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Making Digital Accessibility Work: Practical Strategies that Stick

Room 112

Creating truly accessible digital experiences takes all of us. In this session, you’ll discover how small, practical changes to your daily workflow can make a big difference. Learn how integrating accessibility into your routine can be simple, effective and sustainable—no matter your role.

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AI in Action: Two Anecdotal Experiences

Alumni Lounge

AI to the rescue! Hear from 2 technologists who, in a pinch, turned to AI for help and were amazed by the solutions it delivered. Discover practical examples of how AI saved the day when traditional approaches fell short.

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Is that a tick? Engineering a human-in-the-loop Tick ID system

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If you spend time in wooded areas, you probably know how important it is to check for ticks afterward. Join us to learn about the Tick App, a citizen science project developed by researchers at UW–Madison with collaborators across the U.S. In this informative talk, we’ll show how the Tick App enables users to submit pictures of ticks they’ve found and how researchers identify what kind they are. We’ll discuss the evolution of this identification system and how we’ve started integrating AI into it.

Attendees will:

  • Discover how the Tick App enables users to submit pictures of ticks they’ve found and contribute to valuable research
  • Learn about the semi-automated, human-in-the-loop identification process used by researchers to classify tick species
  • Gain insights into the evolution of the Tick App’s overall system and the lessons learned during its development

Presenters

Putting AI in your lap(top): A hands-on guide to running LLMs on your Macbook

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This presentation will guide you through running a freely available large language model (LLM) locally on your own hardware. You’ll gain practical experience making your own data accessible to the model and explore various techniques to enhance its performance. The session is designed to provide a deeper understanding of LLM capabilities and limitations through hands-on demonstrations.

Attendees will:

  • Gain a clear understanding of Large Language Models and how they work
  • Learn how to set up and run the Llama2 model on your local Macbook
  • Discover how to leverage the LangChain library to interact with and extend the capabilities of LLMs
  • Understand the importance of system prompts and how to craft them to guide the model’s behavior effectively
  • Explore techniques for maintaining context and coherence in conversations with the model
  • Learn how to enhance the model’s responses by integrating relevant information from external sources
  • Discover how to represent and organize your data using embeddings to improve the model’s understanding and performance

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I asked ChatGPT to write this presentation

Virtual

Join the Zoom Event

This session will be a presentation where the use of AI in educational settings is demonstrated in order to spark discussion on the ethical use, limits, and guidelines for AI in educational settings. The session will involve using Free AI text an image generators to build a presentation on the ethical use of AI in education, followed by giving the presentation, and then a discussion.

Presenter

AI: The cause of—and solution to—all of life’s problems

Virtual

Join the Zoom Event

This session provides a high-level overview of artificial intelligence (AI), covering its history, concepts and various applications. Attendees will gain a deeper understanding of the different types of AI, using illustrated examples to demonstrate how these technologies work and explore the potential solutions and challenges associated with the effective implementation of AI. By the end of the session, you will have a clearer understanding of AI, its various types and uses and the successes and challenges you may encounter when implementing AI solutions.

Attendees will:

  • Learn the definitions and types of AI
  • Understand the history, concepts, and paradigms of machine learning (ML)
  • Explore deep learning, artificial neural networks, and generative AI
  • Discover the potential solutions and applications of AI technologies
  • Identify and discuss the challenges and consequences of using AI effectively

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