Corey Ziegler
Andrew Grumet
Ethics In Financial Services Insights
Adaptable Artificial Intelligence
This publication introduces adaptability, defined as the capacity of an artificial intelligence (AI) system’s behavior to maintain helpfulness and harmlessness as societal understandings of these concepts evolve. The authors emphasize that adaptability is a necessary property to secure durable trust in AI systems as AI increasingly permeates private, public, and corporate life.
The paper highlights that this line of research is underemphasized and scattered and introduces adaptability as a concept that unifies the field of trustworthy AI by encompassing a range of yet disparate techniques. These techniques include interpretability, explainability, steerability, and instructibility, emphasizing the need for continuous alignment with societal norms and treating trustworthiness as a dynamic goal.
To address these challenges, the authors propose a publicly governed research program. This program focuses on evaluating adaptability methods based on effectiveness, cost, and system performance. By fostering collaboration and public accountability, it aims to advance trustworthy AI through adaptability. Techniques like model editing and retrieval-augmented generation (RAG) are discussed as promising approaches to improving adaptability, though their current limitations are acknowledged.
The authors critique market-driven AI development, arguing that market pressures have rendered private industry fundamentally incapable of developing AI systems that the public can trust. They underscore the need for public investment and governance to counteract these pressures, ensuring that AI development prioritizes public benefit and remains adaptable to evolving societal values.
More from The College
- Dive deeper into the concept of adaptability and its transformative role in AI governance by reading the full paper.
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Retirement Planning Wealth Management Podcasts
Shares: Secrets of Sound and Smart Investing
In this episode of our Shares podcast, Retirement Income Certified Professional® (RICP®) Program Director Eric Ludwig, PhD, CFP® speaks with Meb Faber, chief investment officer of Cambria Investment Management and an expert on investment types and uses. They take a historical look at the ups and downs of stock and investment markets, as well as their impacts on tax planning — including perspectives found in The College’s Tax Planning Certified Professional™ (TPCP™) Program.
Meb Faber is the founder and chief investment officer of Cambria Investment Management. He is the manager of Cambria’s exchange-traded funds (ETFs) and separate accounts. Faber hosts The Meb Faber Show podcast and has authored numerous leather-bound books. He is a frequent speaker and writer on investment strategies and has been featured in Barron’s, The New York Times, and The New Yorker. Faber graduated from the University of Virginia with a double major in engineering science and biology.
Any views or opinions expressed in this podcast are the hosts’ and guests' own and do not necessarily represent those of The American College of Financial Services.