David Rein

David Rein is a researcher at New York University (NYU), where he is part of the Alignment Research Group (ARG). He has been in this role since September 2022, focusing on scalable oversight in artificial intelligence (AI) and machine learning (ML), particularly studying "AI Safety via Debate," which aims to enhance the truthfulness and honesty of AI models. His work is supervised by Sam Bowman, a notable figure in AI research.12

Education and Background

Rein completed his undergraduate studies at Duke University, where he double majored in Computer Science and Philosophy. His academic interests lie at the intersection of AI, ethics, and technology.14

Professional Experience

Before joining NYU, Rein worked as a Member of Technical Staff at Cohere from September 2020 to November 2022, where he contributed to representation learning research and ML infrastructure development. He also interned at Duke Forge and the National Institute of Standards and Technology, focusing on predictive analytics in healthcare.12

Research Focus

Rein's current research interests include:

• Scalable Oversight: Developing methods to supervise advanced AI systems.
• AI Safety: Investigating frameworks for ensuring AI systems operate safely and ethically.

He has authored several papers on these topics, contributing to the broader discourse on AI alignment and safety.23

Achievements

Rein has received recognition for his work, including:

• 2nd Place in the Kenan Institute Ethical Tech Policy Proposal Challenge for a proposal on anti-satellite weapons.
• 1st Place for Best Insight at the 2019 ASA Duke DataFest.1

Overall, David Rein is an emerging scholar in the field of AI alignment, contributing valuable insights into how we can responsibly develop and oversee intelligent systems.