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Learning About Humans Through Robots

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SUCanadaSummit

This session focused on breakthroughs that are enabling robotics and AI minds to become more and more indistinguishable from human intelligence.

Technology
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LEARNING ABOUT HUMANS THROUGH ROBOTS Dr. Suzanne Gildert Founder and co-CEO, Sanctuary AI SU Canada Summit2019
HYPOTHESIS: HUMAN-LIKE INTELLIGENCE REQUIRES A PHYSICAL HUMAN-LIKE BODYBEING HUMAN
MACHINES LIKE US
SYNTHS.SYNTHS.
INSIDE
AUTONOMY
AFFECTIVA GOOGLE CLOUD AI CLARIFAI AWS REKOGNITION IBM WATSON DIALOG FLOW ALGORITHMIA GOOGLE TRANSLATE OPENAI ALPHAGO SINGULARITY NET VISUAL TRANSLATE QR SCANNER SQUARE POS CORTICAL IO WOLFRAM ALPHA WIT AI PANDORABOTS... EXISTING TOOLS
PILOT AI Task duration Task duration 2019 2021 CROSSOVER
SENSORY INPUTS DEEP LEARNING MODELS GENERATIVE MODELS REINFORCEMENT LEARNING - INCLUDING SOCIAL REWARDS IMITATION LEARNING THROUGH TELEOP EXISTING NARROW AI SOLUTIONS: SIRI, WATSON, ALEXA, ETC. PHYSICAL BODY CLASSICAL SYMBOLIC AI TECHNIQUES MOVE TOWARDS HUMAN-LEVEL AI WITH COGNITIVE ARCHITECTURE R&D ACTION SYMBOLS PERCEPTION SYMBOLS MOTOR OUTPUTS
Teleop phase Fragmented AI phase Human-like phase 2019 2029 % control 100 0 2021 2026
OUR FUTURE WITH SYNTHS.
THANK YOU @suzannegildert

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