Mitchell L. Gordon

Mitchell L. Gordon is a researcher specializing in human-computer interaction and AI alignment, currently employed at OpenAI. His research focuses on designing interactive systems, models, and evaluation methods to ensure AI safety and diversity. Gordon has received Best Paper Awards at several international conferences, including CHI and CSCW, and has presented significant work at NeurIPS. He earned his Ph.D. in Computer Science at Stanford University, where his dissertation won the Arthur Samuel Award in the field of computer science. Gordon has a wide-reaching impact in both academia and industry, with research spanning AI alignment, diversity studies, and technology ethics.

• 2023 – Present·OpenAI·Researcher
  • Focused on AI alignment and safety research
• 2015 – 2023·Stanford University·Research Assistant
  • Participated in and led multiple research projects in AI and human-computer interaction

• 2015 – 2023·Stanford University·Ph.D.
  • Specialization: Computer Science, AI Alignment, and Human-Computer Interaction
• 2011 – 2015·Undisclosed University·Bachelor's Degree
  • Major: Computer Science

• Significant AI research contributions include publishing “Jury Learning: Integrating Dissenting Voices into Machine Learning Models”, which explores improving machine learning algorithms through the lens of diversity.
• Developed innovative interactive systems and tools such as WatchWriter and Glance to enhance human-computer interaction experiences.
• Gordon’s research outcomes have been widely applied in AI alignment and diversity studies, advancing developments in technology ethics and fairness.