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Eye on AI

#309 Jamie Metzl: Why Gene Editing Needs Governance Or We Lose Control

70 min episode · 2 min read
·

Episode

70 min

Read time

2 min

Topics

Productivity, Health & Wellness, Personal Finance

AI-Generated Summary

Key Takeaways

  • Embryo Editing Readiness: Human society lacks the scientific maturity, legal frameworks, regulatory infrastructure, and social norms needed to responsibly edit pre-implanted embryos. Current focus should be on building governance systems while science advances, preventing unethical Nuremberg-style experimentation by wealthy individuals seeking genetic advantages for offspring.
  • Screening Over Editing: Polygenic risk scoring for IVF embryos offers nearer-term benefits than gene editing. Extracting and sequencing cells from ten embryos provides actionable health data beyond traditional embryologist visual assessment, allowing parents to select healthier embryos without genetic modification risks or complexity challenges.
  • Biological Complexity Gap: Human understanding of biological systems sits at approximately three to four percent of total complexity. Unlike deterministic computer systems, biology involves interconnected systems where single gene changes produce unpredictable cascading effects, requiring humility from tech entrepreneurs accustomed to simpler computational models.
  • Health Span Economics: Extending average human health span through existing knowledge delivers greater societal value than longevity interventions for the wealthy. Lifestyle modifications like healthy diet, exercise, and toxin avoidance provide bigger wins than experimental treatments, while unlocking human capital currently wasted through premature health decline.
  • Technology Governance Priority: Organizations and societies must ask who they are and what they stand for before deploying new technologies. Starting with how to use tools guarantees failure. Values-first approaches determine optimal human-technology combinations for achieving meaningful goals rather than letting capabilities drive directionless adoption.

What It Covers

Jamie Metzl explains why human embryo gene editing requires robust governance frameworks before implementation, discusses the ethical failures of China's CRISPR babies experiment, and explores how super convergence of AI and biotechnology will transform healthcare, agriculture, and human longevity.

Key Questions Answered

  • Embryo Editing Readiness: Human society lacks the scientific maturity, legal frameworks, regulatory infrastructure, and social norms needed to responsibly edit pre-implanted embryos. Current focus should be on building governance systems while science advances, preventing unethical Nuremberg-style experimentation by wealthy individuals seeking genetic advantages for offspring.
  • Screening Over Editing: Polygenic risk scoring for IVF embryos offers nearer-term benefits than gene editing. Extracting and sequencing cells from ten embryos provides actionable health data beyond traditional embryologist visual assessment, allowing parents to select healthier embryos without genetic modification risks or complexity challenges.
  • Biological Complexity Gap: Human understanding of biological systems sits at approximately three to four percent of total complexity. Unlike deterministic computer systems, biology involves interconnected systems where single gene changes produce unpredictable cascading effects, requiring humility from tech entrepreneurs accustomed to simpler computational models.
  • Health Span Economics: Extending average human health span through existing knowledge delivers greater societal value than longevity interventions for the wealthy. Lifestyle modifications like healthy diet, exercise, and toxin avoidance provide bigger wins than experimental treatments, while unlocking human capital currently wasted through premature health decline.
  • Technology Governance Priority: Organizations and societies must ask who they are and what they stand for before deploying new technologies. Starting with how to use tools guarantees failure. Values-first approaches determine optimal human-technology combinations for achieving meaningful goals rather than letting capabilities drive directionless adoption.

Notable Moment

Metzl reveals his prediction accuracy for CRISPR babies: he listed five genes most likely to be edited in future experiments, and Chinese scientist He Jiankui selected one from that exact list when he illegally created the first gene-edited humans in 2018.

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Episode Transcript

I absolutely believe that the future of humans will include the genome editing of pre implanted human embryos that will be taken to term. So now what we need to be doing is laying the foundation, not just of the science, which isn't quite there yet, but also the legal, regulatory, governance, social norms, all the other pieces of societal infrastructure that are required to do this responsibly and not have it just turn into some kind of Nuremberg style human experimentation even if the people who are getting these procedures aren't prisoners, but they're just kind of rich people trying to give their kids a leg up. Build the future of multi agent software with Agency. That's a g n t c y. Now an open source Linux foundation project, Agency is building the Internet of agents, a collaborative layer where AI agents can discover, connect, and work across any framework. All the pieces engineers need to deploy multi agent systems now belong to everyone who builds on agency, including robust identity and access management that ensures every agent is authenticated and trusted before interacting. Agency also provides open standardized tools for agent discovery, seamless protocols for agent to agent communication, and modular components for scalable workflows. Collaborate with developers from Cisco, Dell Technologies, Google Cloud, Oracle, Red Hat and more than 75 other supporting companies to build next generation AI infrastructure together. Agency is dropping code. Specs and services, no strings attached. Visit agency.org to contribute. That's a gntcy.org. How did you get to writing about the future? Well, thanks so much, Craig. Really a pleasure to be with you. My story in this stuff starts about thirty years ago. I was working on the National Security Council for then president Bill Clinton. And my boss at the time, and current friend was Richard Clark, who at that time was obscure, later became very well known after after nine eleven as kind of the Cassandra who had warned about everything but not been able to to change the the course of events. And Dick always used to say that if everyone in Washington is focusing on one thing, you can be sure there's something much more important that's being missed. And the key to efficacy in Washington and in life is to try to solve problems that other people don't see. And for him, at the time, it was terrorism and cyber. And for me, thirty years ago, looking around the world, this convergence, what I now call super convergence, of these incredible computer tools of machine learning, now we call AI, the tools of biotechnology. At that time, the nascent genetics revolution were all going to come together with profound implications for a whole lot of things. So I became very obsessive in my just self learning about all of these issues. And when I was ready, I started writing articles, about this this issue and what it meant and what America could do to prepare. And …

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