Artificial Intelligence (AI) and Machine Learning (ML) in Business and Industry

Oregon Convention Center 

Room: CC-E145 

The recent attention surrounding large-scale large language models (LLMs), such as the GPT series, has spawned much conversation about the role of machine learning (ML) and, more generally, artificial intelligence (AI), in many different settings. While LLMs and AI/ML have tremendous potential, there are also many issues and open questions. Given industry's leading position and influence in AI research (e.g., Ahmed et al., Science, March, 2023), the Caucus of Industry Representatives (CIR) aims to bring together several experts from different business and industry sectors. This panel will discuss how AI/ML can drive innovation while also addressing challenges, benefits and risks, biases, ethics, data privacy, as well as opportunities for public-private collaborations.

The panel includes representation from different industries and sectors, including digital agriculture, self-driving cars, sustainability, biotech and pharmaceuticals. Further, the chair has a background weather and climate.

After brief introductions, the panel will answer questions prepared by the Caucus of Industry Representatives as well as questions from the audience.

Yes

Section on Text Analysis

Committee on Applied Statisticians

Section on Statistical Computing

Section on Statistical Learning and Data Science