micro1 forum

Join us for a discussion on the evolving role of artificial intelligence in healthcare, featuring Paola Rodriguez (micro1), David Q. Sun (Eight Sleep), and Sam Hashemi (Prenuvo).

We’ll explore how AI is transforming care from reactive to proactive - enabling earlier detection, continuous monitoring, and more personalized interventions - while examining the critical role of human expertise in guiding, validating, and refining these systems as they scale.

Speakers: Sam Hashemi - VP at Prenuvo & Paola Rodriguez, MD. - Director of Medical Research at micro1 & David Q. Sun - VP of AI/ML at Eight Sleep

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

Join us for a deep dive into red teaming for agentic AI systems, hosted by Mark Esposito (micro1) with Victoria Westerhoff (Microsoft) and Liu Zhang (micro1).

We’ll unpack how agentic systems fail in practice—from prompt injection and tool misuse to multi-step breakdowns—and how leading teams are evolving red teaming with continuous testing, expert review, and large-scale adversarial simulations.

Speakers: Victoria Westerhoff - Principle AI Security Researcher and AI Red Team at Microsoft & Liu Zhang, PhD. - Human Data at micro1, Economics PhD. at Harvard

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

Join us for a virtual forum on the future of AI in education, hosted by Mark Esposito (micro1) with speakers Khyati Jain (Google DeepMind) and Skye Zhao (University of Manchester, Microsoft AIEI Fellow). We’ll explore how AI is used in classrooms today, how to design systems that support teachers, and how to evaluate real learning outcomes at scale.

Speakers: Khyati Jain - AI for Education, Research Engineer at Google Deepmind & Dr. Xin (Skye) Zhao - Lecturer in GenAI for Education, University of Manchester

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

Join us for a conversation on bias and fairness in AI systems as they move from research into real-world deployment. We’ll explore how bias emerges in data and models, the tradeoffs between performance and equitable outcomes, and why fairness requires structured evaluation beyond standard model metrics. The discussion will also cover the role of data quality, human oversight, and why fairness must be clearly defined and continuously monitored in production.

Speakers: Omer Reingold - Professor of Computer Science at Stanford University & Nima Yazdani - Lead AI Researcher at micro1

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

Join Ali Ansari and Andrew Maas for a conversation on why humans are becoming more essential as AI systems grow more capable.

As models scale and move from simple prompts to more autonomous work, new challenges around reliability, judgment, and control emerge. They’ll explore why short interactions aren’t enough for real-world intelligence, how expert judgment becomes embedded over longer time horizons, and why “human-in-the-loop” is evolving into “human-as-infrastructure.”

Speakers: Ali Ansari - Founder and CEO at micro1 & Andrew Maas - VP of AI at micro1

Moderated by: Izzy Nova - Enterprise Partnerships Leas at micro1

Join Jason Mayes, Web AI Lead at Google, and Imran Nasim, PhD, AI Researcher at micro1, for a discussion on how modern AI agents are actually deployed in production.

We’ll explore hybrid architectures spanning browser and cloud, hardware and latency constraints, privacy tradeoffs of client-side execution, emerging agentic web standards, and how to evaluate and stress-test systems across cloud and device contexts, moving from impressive demos to truly production-safe agents.

Speakers: Jason Mayes - Web AI Lead at Google & Imran Nasim, PhD. - Director of Research at micro1

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

Powering Robotics: The Data Layer Behind Autonomy brought together robotics and AI leaders to explore how high-quality data enables autonomy across humanoid robots, autonomous vehicles, and embodied AI systems. Moderated by Mark Esposito, the panel featured Arian Sadeghi, Behrad Toghi, and Touraj Parang, focusing on themes such as why data is often the true bottleneck, how robotics data can be collected and validated at scale, and what the robotics data stack may need to look like over the next 3–5 years to safely move from demos to real-world deployment.

Speakers: Arian Sadeghi - VP of Robotics data at micro1 & Behrad Toghi - Head of AI Robotics at General Motors & Touraj Parang - President and COO at Serve Robotics

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

micro1 hosted a special book launch conversation on “Becoming AI Native”, featuring the authors themselves, Terence Tse, Paul Lee, and Danny Goh, in discussion moderated by co-author Mark Esposito. Together, they unpacked what it truly means to become AI native, moving beyond hype to explore how leaders and organizations can embed AI into strategy, operations, and decision-making in practical, durable ways. Designed for founders, operators, and decision-makers, this session offers a clear, grounded perspective on navigating the next frontier of AI.

Speakers: Terence Tse, PhD. - Co Founder of Nexus Frontier Tech & Paul Lee - Co Founder and CEO at Aumeo Audio & Danny God - Co Founder of Nexus Frontier Tech

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1

micro1 hosted an introductory conversation about contextual evaluations and why they are becoming crucial for enterprise agentic AI. Together Izzy and Imran explore what contextual evaluations are, how they are conducted, and what results can be expected and used for agent improvement.

Speakers: Izzy Nova - Enterprise Partnerships Lead at micro1 & Imran Nasim PhD. - Director of Research at micro1

Ava Fitoussy and Liu Zhang, co-authors of “Safety Without Over-Refusal: Toward “Safe and Helpful” Model Behavior Through Competence Under Constraint,” did a virtual panel on advancing AI safety beyond blanket refusals toward models that are both safe and genuinely helpful. Moderated by micro1's Chief Economist, Mark Esposito, the discussion explored how competence under constraint enables systems to set clear boundaries, explained their reasoning, and guided users to safe alternatives - building trust and practical utility without compromising safety.

Speakers: Ava Fitoussy - SPL at micro1, Econ + IR Berkley & Liu Zhang, PhD. - Human Data at micro1, Economics PhD. Harvard

Moderated by: Mark Esposito, PhD. - Chief Economist, micro1