Developmental Science Insights for Artificial General Intelligence Creation

Explore the intersection of developmental science and artificial general intelligence (AGI) in this insightful lecture presented by David S. Moore from Pitzer College and Claremont Graduate University. Delve into the DARPA-funded Machine Common Sense (MCS) program, which aims to improve AI's common sense capabilities. Learn about the strategy of simulating a child's mind in AI development, as suggested by Alan Turing. Discover how interdisciplinary teams of developmental psychologists and computer scientists collaborate to design AI systems with conceptual competences similar to infants and toddlers. Examine the evaluation methods used to assess these AI systems, including controlled experiments based on tools from infant cognitive development research. Gain insights into the unique challenges facing AGI development and the weaknesses of current AI systems highlighted by the MCS program. Understand the valuable contributions that behavioral science experimental tools can bring to AI evaluation and development.