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Overview

The Conference on AI and Human Decisions focuses on consumer-facing AI-based tools, including:

• LLM-based conversational search and shopping (assistants, retrieval, guardrails)
• Ranking, recommendation, and marketplace or product design
• Algorithmic price suggestions (e-commerce, real estate, rentals)
• AI-assisted tools in services such as healthcare and education (medical decision aids, learning assistants)

These systems are increasingly shaping how consumers make decisions. Recent advances in LLM-powered algorithms have made these tools more effective and more widely deployed across industries.

This conference will explore key challenges and opportunities, including:

• AI models and design
• User experience
• Trust, disclosure, and adoption
• Equilibrium effects on value capture and the competitive landscape
• Policy exposure, including welfare, safety, and regulatory scrutiny

The workshop brings together leading researchers and industry practitioners for a closed-door exchange on consumer-facing AI systems. Participants will share insights across markets and disciplines, discuss emerging challenges in AI design and adoption, and explore opportunities for collaborative research and real-world experimentation.

Format and Organization

The conference spans two days, beginning Friday at noon and concluding Saturday at 4 p.m.

• Day 1 focuses on industry products and practitioner perspectives
• Day 2 focuses on academic research presentations and discussions

The event will follow a single-track format, featuring plenary talks, practitioner talks, research presentations, and panel discussions. This structure is designed to encourage shared dialogue and cross-sector engagement.

Have Questions? Ask Us!

For inquiries, please contact: conf-ai-consumer-org@lists.andrew.cmu.edu

Or you can reach out to any of the following organizers:

• , Visiting Faculty of Marketing and Business Technologies, ºÃÉ«ÏÈÉúTV
• , Associate Professor of Economics, ºÃÉ«ÏÈÉúTV
• , Assistant Professor of Business Technologies, ºÃÉ«ÏÈÉúTV
• , Assistant Professor of Business Technologies, ºÃÉ«ÏÈÉúTV