The Connected Ideas Project
Tech, Policy, and Our Lives
Ep 03 - AI and Life Sciences: Navigating the Frontier of Innovation and Security
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Ep 03 - AI and Life Sciences: Navigating the Frontier of Innovation and Security

The co-evolution of biology and computing started in the era of Alan Turing and is accelerating at a mind-boggling rate with modern AI

Hey there, science enthusiasts and policy wonks! Titus here, and I've got some exciting developments to share about the intersection of artificial intelligence and life sciences. It's a topic that's been keeping me up at night (in a good way), and recent events have only amplified its importance.

First off, let's talk about the paper I recently wrapped up with some colleagues: "Computing in the Life Sciences: From Early Algorithms to Modern AI." This isn't just a stroll down memory lane – it's a comprehensive look at how we've gone from using computers to crunch basic genetic data to employing AI systems that can predict protein structures and design new drugs. But here's the kicker: this paper doesn't exist in a vacuum. It's part of a much larger conversation that's happening right now at the highest levels of government and academia.

Let's connect some dots. On October 30, 2023, President Biden signed an Executive Order on the "Safe, Secure, and Trustworthy Development and Use of Artificial Intelligence." This order is a big deal, folks. It's the government recognizing that AI isn't just coming – it's here, and we need to figure out how to harness its potential while mitigating its risks.

One of the key aspects of this order that ties directly into our field is the focus on AI's implications for biosecurity. The order directs the National Academies of Sciences, Engineering, and Medicine (NASEM) to conduct a study on the potential risks and benefits of AI in the life sciences. And guess what? Yours truly is part of the study group working on this crucial assessment.

This NASEM study, titled "Assessing and Navigating Biosecurity Concerns and Benefits of Artificial Intelligence Use in the Life Sciences," is tackling some heavy questions:

1. How can AI increase biosecurity risks, especially when it comes to generative AI trained on biological data?

2. What are the national security implications of using government-owned or funded datasets for training AI models?

3. How can AI be used to actually reduce biosecurity risks?

Being part of this study group is both exciting and sobering. We're at the forefront of shaping how our society will approach the powerful convergence of AI and biology. The potential benefits are enormous – imagine AI systems that can rapidly develop vaccines for emerging pathogens or predict and prevent pandemics before they start. But the flip side is equally impactful – the same technologies could potentially be misused to design biological threats or compromise sensitive genetic information.

Our recent paper serves as a foundation for understanding how we got here and where we might be headed. It traces the evolution of computing in life sciences, from early algorithms for sequence alignment to today's sophisticated AI models that can generate novel protein structures. This historical context is crucial for informing our current policy decisions and future research directions.

One of the most fascinating aspects of this work is seeing how quickly the field is evolving. Technologies that seemed like science fiction just a few years ago are now becoming reality. For instance, large language models trained on biological data can now generate protein sequences with specific functions or predict the effects of genetic mutations. It's mind-blowing stuff, but it also raises important ethical and security questions that we need to address.

The Executive Order and the NASEM study represent a proactive approach to these challenges. They're not just asking what AI can do, but what it should do, and how we can ensure it's developed and used responsibly. This isn't just about setting rules – it's about fostering innovation while safeguarding our society.

As we move forward, it's clear that interdisciplinary collaboration will be key. We need biologists, computer scientists, ethicists, policymakers, and security experts all working together to navigate this new frontier. The decisions we make now will shape the future of both AI and life sciences for decades to come.

So, what can you do? Stay informed, for starters. The issues we're grappling with in the NASEM study and that are addressed in the Executive Order will impact everyone, not just scientists and policymakers. Engage in discussions about AI ethics and biosecurity. Support research that aims to harness AI for positive biological applications. And most importantly, keep asking questions.

The convergence of AI and life sciences is one of the most exciting and consequential developments of our time. It's a field ripe with potential for groundbreaking discoveries and innovations that could dramatically improve human health and our understanding of biology. But it's also a field that requires careful consideration and responsible stewardship.

As we continue this journey, I'll be sharing updates on the NASEM study and insights from our ongoing work. The paper we just completed is just the beginning of a much larger conversation – one that I'm thrilled to be part of, and one that I hope you'll join in too.

Stay curious, stay engaged, and let's shape the future of AI in life sciences together!

Cheers,

-Titus


The podcast audio was AI-generated using Google’s NotebookLM

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The Connected Ideas Project
Tech, Policy, and Our Lives
This podcast is about the co-evolution of emerging tech and public policy, with a particular love for AI and biotech, but certainly not limited to just those two. The podcast is created by Alexander Titus, Founder of the In Vivo Group and The Connected Ideas Project, who has spent his career weaving between industry, academia, and public service. Our hosts are two AI-generated moderators, and we're leveraging the very technology we're exploring to explore it. This podcast is about the people, the tech, and ultimately, the public policy that shapes all of our lives.