June 2, 2023 | 11 a.m.–12:30 p.m.

PANEL: Generative AI in Education and the Future of Work 

Researchers and practitioners in the learning sciences and technology, economics, and administration of education will talk about new challenges and opportunities resulting from the rise of large language models (LLMs). The discussion will focus on assessment, formal instruction, professional development and learning on the job. The changing employment landscape will also be addressed.

Sherice Clarke
University of California, San Diego
Resarch area: educational equity

Shayan Doroudi
University of California, Irvine
Research area: foundations of learning about learning

Philippe Hocquet
The Educational Testing Service
Research area: educational assessment

Lewis Johnson
Alelo, Inc.
Research area: AI in training and workforce development

Sherry Wu
Carnegie Mellon University
Research area: human-centered AI

June 9, 2023 | 11 a.m.–12:30 p.m.

PANEL: Generative AI in Medicine and Public Health

Across government, industry and academia, LLMs are impacting medicine and public health in a variety of areas including diagnostic imaging and extraction of information from medical records. The fields of computational biology, medical informatics and natural language processing come together to discuss privacy concerns, liability and trust in this important space.

June 10, 2023 | 11 a.m.–2 p.m.

TUTORIAL: Building Blocks of Generative AI Systems and Hands-On Experience

Daphne Ippolito is an assistant professor in the Language Technologies Institute at CMU. Before joining the CMU community, she completed her Ph.D. at the University of Pennsylvania in LLMs, specifically in the area of language generation. She is also a research scientist at Google. Her interests include the properties of generative language models for text and the challenges of automatically generating narratives that are simultaneously coherent and interesting. She also looks at ways human writers can use generative text models as creative tools. 

In the first half of the Generative AI tutorial, you will learn about the building blocks of modern neural language models and text-to-image diffusion models. We will go over the terminology commonly seen in technical discussions of these models, and we will describe step-by-step how they turn your input prompt into generated text or images. We will also discuss the key differences between popular models, and why you might choose one or another.

In the second half of the tutorial, you will complete a guided exercise to build a basic application using these models. The practical portion of the tutorial will assume competency in Python and access to a Python development environment, such as Google Colab.

June 16, 2023 | 11 a.m.–12:30 p.m.

PANEL: Finance and Economics 

Opportunities for AI to impact finance and economics have grown in abundance over the recent past as the largest financial institutions have made an investment in these technologies with an eye toward transforming business processes. Leaders from industry and academia will discuss challenges related to process-optimization broadly, as well as quantitative reasoning, extrapolation and multimodal document processing in particular.

June 18, 2023 | 11 a.m.–2 p.m.

TUTORIAL: Building Blocks of Generative AI Systems and Hands-On Experience

Daphne Ippolito is an assistant professor in the Language Technologies Institute at CMU. Before joining the CMU community, she completed her Ph.D. at the University of Pennsylvania in LLMs, specifically in the area of language generation. She is also a research scientist at Google. Her interests include the properties of generative language models for text and the challenges of automatically generating narratives that are simultaneously coherent and interesting. She also looks at ways human writers can use generative text models as creative tools. 

In the first half of the Generative AI tutorial, you will learn about the building blocks of modern neural language models and text-to-image diffusion models. We will go over the terminology commonly seen in technical discussions of these models, and we will describe step-by-step how they turn your input prompt into generated text or images. We will also discuss the key differences between popular models, and why you might choose one or another.

In the second half of the tutorial, you will complete a guided exercise to build a basic application using these models. The practical portion of the tutorial will assume competency in Python and access to a Python development environment, such as Google Colab.

June 23, 2023 | 11 a.m.–12:30 p.m.

INVITED TALK: TBA

June 30, 2023 | 11 a.m.–12:30 p.m.

INVITED TALK: Manuela Veloso | AI in Finance: Examples and Discussion

In this talk, Manuela will present examples of recent AI research and practice experience in the finance domain, addressing data, reasoning and execution AI approaches. Presented projects will be on AI for data discovery, data standardization, synthetic data, behavior understanding, multiagent simulations and explainability.

Manuela is head of J.P. Morgan Chase AI Research and the Herbert A. Simon University Professor Emerita at CMU, where she was previously faculty in the Computer Science Department and head of the Machine Learning Department. Her recent interests are in AI, symbiotic human-robot autonomy, continuous learning systems and AI in finance. She is past president of the Association for the Advancement of Artificial Intelligence (AAAI), and the co-founder and a past president of the RoboCup Federation. She has received numerous awards and honors, including a National Science Foundation CAREER Award, the Allen Newell Medal for Excellence in Research, a Radcliffe Fellowship, the Einstein Chair Professor of the Chinese Academy of Sciences, and the ACM/SIGART Autonomous Agents Research Award. Veloso is a fellow of AAAI, AAAS, ACM and IEEE. In 2022, she was elected to the National Academy of Engineering for her “contributions to artificial intelligence and its applications in robotics and the financial service industry.”

July 14, 2023 | 11 a.m.–12:00 p.m.

INVITED TALK: Jill Fain Lehman | Separating Truth and (Speculative) Fiction

Jill Fain Lehman has worked for more than 40 years in the areas of natural language processing, machine learning, cognitive architecture and human-computer interaction. Because she is interested in both language interaction and the messiness of making things work in the real world, most of her career has been spent with one foot in academia at CMU (where she is currently a senior project scientist) and the other in industry (including the Rand Corporation, Carnegie Speech, Carnegie Learning and Disney Research). After more than 100 research publications and eight patents, Jill has joined with co-authors Ashlei Watson and Paul Pangaro to write "Private I," a work of near-future, speculative fiction. In the character of Marlowe, she offers an alternative view of symbiotic AI that embodies her historical and technical perspectives, and is decidedly not based on today's large language models.

July 18, 2023 | 11 a.m.–2 p.m.

TUTORIAL: Building Blocks of Generative AI Systems and Hands-On Experience

Daphne Ippolito is an assistant professor in the Language Technologies Institute at CMU. Before joining the CMU community, she completed her Ph.D. at the University of Pennsylvania in LLMs, specifically in the area of language generation. She is also a research scientist at Google. Her interests include the properties of generative language models for text and the challenges of automatically generating narratives that are simultaneously coherent and interesting. She also looks at ways human writers can use generative text models as creative tools. 

In the first half of the Generative AI tutorial, you will learn about the building blocks of modern neural language models and text-to-image diffusion models. We will go over the terminology commonly seen in technical discussions of these models, and we will describe step-by-step how they turn your input prompt into generated text or images. We will also discuss the key differences between popular models, and why you might choose one or another.

In the second half of the tutorial, you will complete a guided exercise to build a basic application using these models. The practical portion of the tutorial will assume competency in Python and access to a Python development environment, such as Google Colab.

July 21–23, 2023 | 11 a.m.–8 p.m.

HACKATHON EVENT: Education and the Future of Work

Participants with some technical expertise who would like to engage in an extensive hands-on group project in one of our three impact areas can join one of three hackathon experiences. These events will culminate in an open demonstration of hackathon projects and distribution of prizes to winning teams.

July 22, 2023 | 12–1 p.m.

SPOTLIGHT SESSION: Generative AI in Education and the Future of Work

Each of our hackathon events will feature a spotlight session, where ongoing CMU projects related to the thematic area of the hackathon will present their work in a poster/demo/firehose talk session.

July 28–30, 2023 | 11 a.m.–8 p.m.

HACKATHON EVENT: Medicine and Public Health

Participants with some technical expertise who would like to engage in an extensive hands-on group project in one of our three impact areas can join one of three hackathon experiences. These events will culminate in an open demonstration of hackathon projects and distribution of prizes to winning teams.

July 29, 2023 | 12–1 p.m.

SPOTLIGHT SESSION: Generative AI in Medicine and Public Health

Each of our hackathon events will feature a spotlight session, where ongoing CMU projects related to the thematic area of the hackathon will present their work in a poster/demo/firehose talk session.

Aug. 4–6, 2023 | 11 a.m.–8 p.m.

HACKATHON EVENT: Finance and Economics

Participants with some technical expertise who would like to engage in an extensive hands-on group project in one of our three impact areas can join one of three hackathon experiences. These events will culminate in an open demonstration of hackathon projects and distribution of prizes to winning teams.

Aug. 5, 2023 | 11 a.m.–1 p.m.

SPOTLIGHT SESSION: Generative AI in Finance and Economics

Each of our hackathon events will feature a spotlight session, where ongoing CMU projects related to the thematic area of the hackathon will present their work in a poster/demo/firehose talk session.

Aug. 11, 2023 | 11 a.m.

Hackathon Demo Session | Closing Ceremony | Awards

Each of our hackathon events will include a competition for Best Project to support continued work on the hackathon project of developing an end user application. Awards will be provided by the Block Center. A closing session will offer the opportunity for the winning project teams to present their award-winning work to the general public. Audiences will have the chance to ask questions and engage in a broader discussion about the future of generative AI during this facilitated event.