Theme:
The emergence of Generative AI techniques, including Large Language Models (LLMs), applied to large-scale data sets has the potential to generate results resembling human reasoning. ChatGPT’s launch on November 30, 2022 has precipitated wide-spread thinking about the potential of Generative AI to revolutionize the economy and society, while at the same time highlighting the challenges of computer-driven thinking and black box models. While there is clear potential for synthesizing internet-scale information for answering general questions, GenAI techniques have significant challenges in turning that information into high-confidence solutions for specialized domains. Moreover, the significant increase in computing demand has also led to renewed concerns over the carbon footprint of AI and increased interest in energy efficient computing performance.
CLSAC 2024 will explore the potential of these models to: revolutionize analytics while balancing time and energy, apply generalized human-like understanding to domain-specific problems, and minimize the technical and human-factors gaps in taking high-confidence actions based on the model’s output. The conference is organized as five plenary sessions:
Throughout the conference we will integrate AI produced questions, answers, and positions as example demonstrations of “what the AI thinks is important”, vs what the human organizers believe is essential.
The emergence of Generative AI techniques, including Large Language Models (LLMs), applied to large-scale data sets has the potential to generate results resembling human reasoning. ChatGPT’s launch on November 30, 2022 has precipitated wide-spread thinking about the potential of Generative AI to revolutionize the economy and society, while at the same time highlighting the challenges of computer-driven thinking and black box models. While there is clear potential for synthesizing internet-scale information for answering general questions, GenAI techniques have significant challenges in turning that information into high-confidence solutions for specialized domains. Moreover, the significant increase in computing demand has also led to renewed concerns over the carbon footprint of AI and increased interest in energy efficient computing performance.
CLSAC 2024 will explore the potential of these models to: revolutionize analytics while balancing time and energy, apply generalized human-like understanding to domain-specific problems, and minimize the technical and human-factors gaps in taking high-confidence actions based on the model’s output. The conference is organized as five plenary sessions:
- Human Factors: Truth, Attribution and Applying Domain Specific Knowledge
- Applications: Workflows and Use Cases
- Software: Approaches to Model Augmentation and Domain-Specific Applications
- Hardware: Energy, Architecture and Approaches to Acceleration
- Policy and Psychology: Societal Impact, Human Interactions and Decision Making
Throughout the conference we will integrate AI produced questions, answers, and positions as example demonstrations of “what the AI thinks is important”, vs what the human organizers believe is essential.
Organizing Committee:
Jim Ang, Pacific Northwest National Laboratory
Almadena Chtchelkanova, National Science Foundation
John Feo, Pacific Northwest National Laboratory
David Haglin, Trovares, Inc.
Laura Monroe, Los Alamos National Laboratory
Richard Murphy, Gem State Informatics, Inc.
Ron Oldfield, Sandia National Laboratories
Steve Pritchard, Committee Advisor
Tyler Simon, Department of Defense
Brad Spiers, Committee Advisor
Almadena Chtchelkanova, National Science Foundation
John Feo, Pacific Northwest National Laboratory
David Haglin, Trovares, Inc.
Laura Monroe, Los Alamos National Laboratory
Richard Murphy, Gem State Informatics, Inc.
Ron Oldfield, Sandia National Laboratories
Steve Pritchard, Committee Advisor
Tyler Simon, Department of Defense
Brad Spiers, Committee Advisor
Agenda -- All times EST
Monday, Nov 4th, 2024
7:00 -- 8:30 pm
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Welcome Reception and Registration
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General Session in Capital D Ballroom
All meals in Capital A Ballroom
Receptions in Senate A/B Ballroom
All meals in Capital A Ballroom
Receptions in Senate A/B Ballroom
Tuesday, Nov 5th, 2024 (Election Day -- Vote Early)
7:00 – 8:00 am
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Breakfast and Registration
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8:00 – 8:30 am
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Welcome
George Cotter Award |
8:30 – 9:15 am |
Keynote
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Session 1: Human Factors
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9:15 -- 10:00 am
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10:00-10:15
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Break
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10:15 -- 11:00
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11:00 -- 11:45
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11:45 -- 12:30
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Panel Discussion
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12:30 -- 1:45
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Lunch
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Session 2: Applications
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1:45 -- 2:30
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2:30 -- 3:15
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3:15 -- 3:30
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Break
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3:30 -- 4:15
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4:15 -- 5:00
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Panel Discussion
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Dinner
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6:00 -- 7:30
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Wednesday, November 6th, 2024
7:00 – 8:30 am
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Breakfast and Registration
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8:30 – 9:15 am |
Keynote
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Session 3: Software
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9:15 -- 10:00 am
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10:00-10:15
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Break
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10:15 -- 11:00
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11:00 -- 11:45
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11:45 -- 12:30
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Panel Discussion
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12:30 -- 6:00
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Lunch and Dinner (on your own)
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6:00 -- 7:30
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Random Access
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Sign-up sheet will be at the registration table.
Talks are limited to 8 minutes. |
7:30 -- 9:00
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Poster Reception
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Students
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Thursday, November 7th, 2024
7:00 – 8:30 am
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Breakfast and Registration
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Keynote
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8:30 – 9:15 am
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Session 4: Hardware
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9:15 -- 10:00 am
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10:00-10:15
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Break
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10:15 -- 11:00
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11:00 -- 11:45
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11:45 -- 12:30
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Panel Discussion
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12:30 -- 1:45
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Lunch
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Session 5: Policy and Psychology
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1:45 -- 2:30
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John Scott, Exiger
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2:30 -- 3:15
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3:15 -- 3:30
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Break
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3:30 -- 4:15
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4:15 -- 5:00
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Panel Discussion
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5:00 -- 5:15
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Closing Remarks and Adjourn
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5:15 -- 6:30
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Closing Reception
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2024 Sponsors