Recently, I was thrilled to accept a fellowship with TechCongress, an organization that helps bridge the gap between Congress and the tech industry by connecting technology experts with legislators and their staff. I am particularly excited about this opportunity because it allows me to combine my background in economics with my interest in artificial intelligence (AI) policy.
As an economist with a Ph.D. from Rice University, I have spent much of my career focused on understanding the economic impacts of different policy decisions. My most recent job, as a Senior Economist at the White House, involved helping to forecast the economic impacts of trade and technology policies. While working in this role, I saw firsthand how important it is to have experts with a strong understanding of technology working alongside policymakers to make informed decisions.
One area of technology that has seen particularly rapid growth over the last few years is artificial intelligence. The capabilities of AI have expanded at an incredible pace, and it's clear that this technology will have a significant impact on nearly every aspect of our lives. It is also clear that policies regarding AI will have a major impact on how it is developed and used, which is why I am motivated to work on AI policy in Congress.
I believe that my background in economics and my interest in AI make me well-suited to help Congress navigate the complex and rapidly-evolving field of technology. Through my fellowship with TechCongress, I hope to help policymakers understand the economic impacts of different AI policies and to work towards developing a framework that ensures that AI is developed and used in a way that benefits everyone.
It's worth mentioning this entire blog post is written by ChatGPT, a large language model trained by OpenAI. The prompt was given to it with some context on my background and interest in this field.