Brief Introduction

This track examines the shift from AI-Generated Content (AIGC) to AI-Generated Decision (AIGD) and its growing impact on marketing. While early AI systems mainly focused on producing content, LLM now play a more active role in supporting and even shaping decisions. AI is increasingly embedded across the marketing, enabling data-driven insights and real-time support for both consumers and firms. On the consumer side, AI influences decision-making in many AI-supported settings, such as personalized recommendations, intelligent search, and AI-assisted shopping. These systems not only provide information but also shape preferences, trust, and user behavior. On the business side, AIGD supports demand forecasting, dynamic pricing, and targeted promotion, helping firms improve efficiency and competitiveness. We welcome empirical studies, theoretical research, and practical cases on topics such as algorithmic trust, user acceptance of AI decisions, transparency and explainability, and LLM using in online marketing. This track aims to bridge academia and industry, encouraging discussion on how AIGD can enhance user experience and improve business performance.

Topics

1. User experience design and evaluation in AI-driven marketing
2. User acceptance and adoption of AI-generated decisions
3. Algorithmic trust and consumer behavior on AI recommendations
4. LLM using in online marketing
5. Explainability and transparency in AI-supported marketing