Grounding Principles for Understanding and Regulating AI
Data Science & AI
May, 2023
Author: Maria Fillippelli is the Data Director for the Southern Economic Advancement Project, and a former Public Interest Technology Census Fellow with New America. As a PIT Fellow, she developed and led a strategy to assist dozens of national, state, and local organizations and governments navigate the technical changes to the 2020 Census.
The full piece, excerpted below, is available on the New America website.
A few weeks ago my yoga instructor asked me after class about the hype surrounding ChatGPT and generative AI. Did I think it really was a watershed moment in humanity? It was early in the day, and my immediate response was that only history can determine if this is a watershed moment. However, I added, the actions we take now to understand and weigh the pros and cons of generative AI are incredibly important.
He nodded thoughtfully, and seemed to be gathering his thoughts for a follow-up question, but it didn’t come. As the day wore on, I realized that my answer was clear but probably insufficient. My yoga instructor wasn’t really looking for a single answer; he was, like many of us, looking for a framework to sort through the immense swirl of claims, counterclaims, hype, and critique about generative AI that has been unleashed since ChatGPT’s release in November 2022.
And I realized that I hadn’t seen much in the way of useful frameworks for experts and nonexperts alike to evaluate generative AI products…[continue reading on New America’s website].