Feb. 29, 2024, 8:13 p.m. | Allen Institute for AI

Allen Institute for AI www.youtube.com

Speaker: Konrad Kording

Abstract: Causality is key to many branches of science, engineering, and the alignment of AI systems. I will start by highlighting the difficulties of causal inference in the real world, and build some intuition about why in the real world causality is difficult while it seems easy in our mind. I will continue by reviewing the mechanisms that people use to figure out causality and emphasize that they usually do it differently than, say, a specialist in …

abstract ai systems alignment build causal inference causality engineering highlighting inference intuition key people science speaker systems will world

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Senior ML Engineer

@ Carousell Group | Ho Chi Minh City, Vietnam

Data and Insight Analyst

@ Cotiviti | Remote, United States