Information

Overview

Recent advances in large generative models have turned AI agents into everyday companions. Millions of people now rely on them across domains from design and communication to science and education. These advances offer unprecedented opportunities to support people in open-ended creative domains. For instance, these agents can provide a medium for brainstorming ideas and exploring design choices to improve creative outcomes. However, existing models and interfaces are primarily designed for automation, and their growing use for creative tasks could lead to design fixation and idea homogeneity. Furthermore, the integration of generative AI agents into creative workflows raises serious issues of content copyright and authorship.

This tutorial will provide an overview of these advances, opportunities, and research challenges in topics related to generative AI, creativity, and human-AI co-creation. The tutorial will focus on two thrusts: (i) leveraging recent advances in generative AI to support people in open-ended creative tasks; (ii) identifying unique challenges when integrating generative AI into creative workflows that require safeguards along with technical innovations. The tutorial will provide common ground to facilitate tighter connections among researchers, industry professionals, and practitioners interested in next-generation technologies that enhance human-AI co-creativity.

Content

• Part 0: Introduction and Motivation
• Part 1: Creativity Theories and Metrics
• Part 2: Benchmarks
• Part 3: Human-AI Co-Creation for Creativity
• Part 4: Improving Creativity of Generative Models
• Part 5: Authorship for Creative Work

Organizers

• Adish Singla. Max Planck Institute for Software Systems (Saarbrucken, Germany).