Fazl Barez

AI safety and Interpretability Researcher

Fazl Barez

With over 5+ years of experience in artificial intelligence research, I specialize in developing advanced yet interpretable machine learning systems. In the past I have consulted with think tanks, charities, educational and financial companies.

Consulting Expertise

  • Custom ML solution architecture - Collaborating with organizations to design Safe ML pipelines, ensuring Interpretability, robustness, accuracy, and transparency.
  • Model auditing - Performing rigorous assessments of AI systems to identify issues related to bias, interpretability, and ethical risks.
  • AI governance and oversight - Advising companies on responsible AI practices and helping craft internal policies and best practices.

I have served as a keynote speaker, panelist, programme chair, reviewer and workshop organiser for conferences including NeurIPS, ICLR, ACL and ICML and ECAI. I have also mentored PhD, MSc and BSc students.

Get in touch if you'd like to chat.