The INFORMS Analytics Society and the INFORMS Practice Section are excited to present the Generative AI Spotlight Series!
This webinar series will explore the strategic, technical, and tactical dimensions of Generative AI, which is already reshaping the future of business and society. INFORMS is bringing together perspectives from both industry and academia to discuss GenAI’s technology, advancements, adoption, and impact.
How are and should industry analytics and OR/MS practitioners incubate, build, and scale with GenAI? Gain valuable insights and real-world experiences from the field on experimentation and scaling efforts. What is the academic world focused on? Learn about the emerging GenAI research topics and their influence on the evolution of related research fields, such as Operations Research and traditional AI research. How is and should analytics and OR/MS education change in the age of GenAI?
Join us for this compelling series, where top experts and thought leaders from industry and academia come together to share their knowledge!
SESSION #1: Kickoff Webinar
TOPIC: Leveraging Generative AI for Creative Problem-Solving in Operations Research and Management Science
In our kickoff episode on October 10, 2024 from 12:00 - 1:00 pm ET, moderators Ece Ceren Izgi and Segev Wasselkrug will host Léonard Boussioux, Assistant Professor at the University of Washington, to discuss GenAI’s role in human-AI collaboration and its impact on ideation and problem-solving in Management Science and Operations Research.
Don’t miss this immersive learning opportunity!
Register here:
Abstract:
The rapid advancement of generative artificial intelligence (AI) presents unprecedented opportunities for creative problem-solving in Operations Research and Management Science (OR/MS) through human-AI collaboration. This talk explores the potential of integrating AI into the early phases of business solution generation and multi-criteria decision analysis within innovation and strategic planning processes.
We will present two complementary field experiments designed to investigate the impact of human-AI collaboration in both ideation and evaluation contexts. The first experiment utilized a crowdsourcing challenge to compare the effectiveness of human-only versus human-AI collaborative approaches in generating innovative solutions for sustainable, circular economy business ideas. The second experiment examined the influence of AI assistance on the evaluation process of early-stage innovations, involving a diverse group of expert and non-expert screeners to assess solutions for a global health equity challenge.
Results from both experiments provide insights into the strengths and limitations of human-AI collaboration in the initial stages of problem-solving and decision-making. Our findings highlight the potential for incorporating "AI-in-the-loop" methodologies into OR/MS practices, offering a scalable and cost-efficient approach to enhancing creative idea generation and systematic evaluation processes. Our research emphasizes the importance of strategically integrating AI capabilities with human expertise to improve heuristic development and evaluation in complex problem domains.