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Upcoming Events

The Ethics of AI- Moral Implications for Society

The MacLean Center for Clinical Medical Ethics will be hosting their 42nd Annual Interdisciplinary Lecture Series! Dr. James N. Weinstein, Senior Vice President of Microsoft Health will be speaking on the Ethics of AI- Moral Implications for Society. 

DATE: October 4, 2023
TIME: 12-1:30pm
LOCATION: UChicago Medical Center, Lecture Hall P117

*Enter through 860 E 59th Street and ask the security desk for directions

Lunch will be served!

Register by Sept. 28

LLM Workshop

Overview: Embark on a hands-on journey into the world of Large Language Models (LLMs) and explore the intricacies of fine-tuning models to craft specialized AI applications. Tailored specifically for master's students, this 90-minute workshop offers a comprehensive understanding of LLMs and their diverse functionalities. Dive deep into popular frameworks like Langchain and Fixie, experiment with diverse models, and source datasets from renowned platforms like Kaggle and Hugging Face. By the workshop's end, participants will not only be familiar with the theoretical constructs of LLMs but will also have a tangible AI application they've built.
Workshop Objectives:

  • Introduce participants to the core concepts of Large Language Models (LLMs).
  • Familiarize students with pivotal frameworks such as Langchain and Fixie.
  • Explore the vast range of models available and their respective strengths and weaknesses.
  • Provide guidance on sourcing the most relevant datasets from Kaggle and Hugging Face.
  • Engage in a hands-on project, leading to the creation of a tailored AI application.

0-10 minutes: Introduction to LLMs, brief history and evolution of LLMs, and importance and implications in the AI industry
10-20 minutes: Diving into frameworks, overview of Langchain and its capabilities, introduction to Fixie and its unique features, and comparing and contrasting various frameworks
20-30 minutes: Model exploration, play and experiment with a variety of pre-trained models, and understand the fundamental differences and use-cases for each model
30-45 minutes: Dataset procurement, browsing Kaggle and Hugging Face for suitable datasets, selecting the appropriate dataset for custom tasks, and tips and tricks for effective dataset selection
45-75 minutes: Hands-on application building, guided session on building a specialized AI application, fine-tuning models on selected datasets, and integration and testing of the final application
75-90 minutes: Wrap-up and Q&A, showcasing the applications developed by participants, and addressing queries and further discussions

Who Should Attend?
Master's students and pre-docs who are keen on deepening their understanding of LLMs, wishing to explore AI application development or looking to hone their skills in model fine-tuning.

When and Where?
October 12th from 10:30am until 12pm in Harper C05

While the workshop is beginner-friendly, familiarity with basic machine learning concepts will be beneficial. We will provide a list of resources 
If interested, please fill out this pre-registration form

Data, Ethics, and Policy: A Community-Centered Approach

DATE: October 13, 2023
TIME: 9:30 AM - 7:00 PM
LOCATION: Sky Suite, Keller Center, University of Chicago (1307 E 60th St, Chicago, IL 60637)

Join us for a day of in-depth discussions on the intersection of policy, ethics, and data science in empowering communities. This conference will bring together thought leaders from academia, industry, government, and community organizations to address complex ethical questions arising from the use of the expanding methods of Data Science and Artificial Intelligence, and how it affects various communities.
Panel discussions will cover:
Current Regulations and Limitations of AI
Public Sector Models of community-engaged approaches on technical projects
Data Activism in fostering social change


How AI is Transforming Business
Join the Kilts Center and John Kim, '99, Executive Vice President, Chief Product Officer at PayPal, for a conversation about how AI is transforming the work of future business leaders, including roles related to tech product management, brand management, and more.
John has more than two decades of digital experience across venture-backed startups, medium-sized companies, and globally known brands including Yahoo!, Overture, Accenture, Bank of America and Pelago.
Reception will begin at 5:30 with light hors d'oeuvres with talk starting at 6pm. There will be time for audience questions. Co-sponsored by the Center for Applied AI, Booth Technology Group FT, and the Booth Product Management Club.

Thursday, November 2 |  5:30 – 7 p.m. CT | Gleacher 100

Register here

Current Job Openings

Join our team and help us find new ways for machine learning to improve human decision-making. We will be posting research positions for AY24-25 by early October.

Machine Learning in Economics Summer Institute

Every August, CAAI hosts the Machine Learning in Economics Summer Institute (MLESI). This year's Institute took place August 16-23.

Read more

Research and Data Partnerships

The center works with a variety of industry and academic partners to accomplish its work through the exchange of knowledge and data. Visit our Research page to learn more. If you or your organization is interested in partnering with us, please reach out. 

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