Emmanuel Klu

Emmanuel Klu

Emmanuel Klu is a research engineer at Google Research where he focuses on society-centered AI. His research topics include fairness, causality, robustness, systems thinking, reinforcement learning, scalable evaluations, knowledge graphs and AI for impact. His prior work includes data engineering and reliability engineering for large-scale systems. Emmanuel holds a bachelor’s degree in Computer Science with a minor in Psychology from the Illinois Institute of Technology in Chicago.

Research Areas

Authored Publications
0 results

Sort By
  • Title
  • Title, descending
  • Year
  • Year, descending
    Google
SYMBIOSIS: Systems Thinking and Machine Intelligence for Better Outcomes in Society
Sameer Sethi
Donald Martin
Emmanuel Klu
Preprint (2025)
SDGym: Low-Code Reinforcement Learning Environments using System Dynamics Models
DJ Passey
Donald Martin
Emmanuel Klu
Sameer Sethi
Arxiv Preprint (2023)
TIDE: Textual Identity Detection for Evaluating and Augmenting Classification and Language Models
Emmanuel Klu
Sameer Sethi
Arxiv (2023)
Search on Google Scholar