AI Storytelling Systems with Mark Riedl - Practical AI #478
Published:Apr 26, 2021 18:02
•1 min read
•Practical AI
Analysis
This article summarizes a podcast episode featuring Mark Riedl, a professor at Georgia Tech, discussing his work on AI storytelling systems. The focus is on how these systems predict audience expectations, integrate various AI/ML techniques, and generate suspenseful narratives. The conversation touches upon theory of mind, large language models like GPT-3, intentional creativity, model explainability, and common sense reasoning. The episode highlights the interdisciplinary nature of AI research and the challenges in creating truly engaging and creative AI systems. The article provides a concise overview of the key topics discussed.
Key Takeaways
- •AI storytelling systems aim to predict audience expectations and generate engaging narratives.
- •The research integrates various AI/ML techniques, including large language models and theory of mind.
- •Challenges include generating suspense, addressing intentional creativity, and improving model explainability.
Reference
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