NYAI #27: Cognitive Architecture & Natural Language Processing

People, who build everything from entertainment experiences to financial management face a dilemma: how can you scale what you’re building for broader consumption, yet maintain the personalization that makes it special?  A fundamental tension exists between building something individualized and scaling it to consumers such as visitors at a theme park, or gamers exploring the latest Zelda adventure. True disruption happens when we overcome the idea that one must sacrifice personalization to achieve mass production — as it has in advertising, recommendations, and web search.

Artificial Intelligence practitioners, especially in natural language understanding, dialogue, and cognitive modeling, face the same issue: how can we personalize our models for all audiences without relying on unscalable efforts such as writing specific rules, building dialogue trees, or designing knowledge graphs?  Catherine Havasi believes we can remove this dichotomy and achieve “mass personalization.” In this session, we’ll discuss how to understand domain text and build believable digital characters. We’ll talk about how adding a little common sense, cognitive architectures, and planning is making this all possible.

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About the Speaker

Dr. Catherine Havasi is a technology strategist, artificial intelligence researcher, and entrepreneur. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. ConceptNet has played a role in thousands of AI projects and will be turning 20 next year. She has started several companies commercializing AI research, including Luminoso where she acts as Chief Strategy Officer. She is currently a visiting scientist at the MIT Media Lab where she works on computational creativity and previously directed the Digital Intuition group.

Resources

NYAI (New York Artificial Intelligence)

About NYAI:
NYAI.co is a social impact organization at the center of AI in NYC and beyond. Focused on education and inclusion, our technical networking community convenes to discuss cutting edge topics in AI and their social implications.

A portion of proceeds supports our free Intro to AI Workshop – a curriculum
designed to educate students from marginalized communities and inspire them to help shape the future of AI.

Mission:
Our Mission is to provide a platform for ideas and thought leadership around Artificial Intelligence (AI) and Machine Learning (ML).
We understand the profound impact AI could have on the world, and believe inclusive conversations are the best way to gain consensus and responsibly guide technical progress in a way that benefits all human beings.

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