Panelist Jeff Easley

Jeff Easley

Responsible AI Institute

United States

Jeff Easley is general manager of the Responsible AI Institute, where he helps organizations harness artificial intelligence in a safe, trustworthy, and sustainable way. He was previously with Goldman Sachs, where he led the development of a SaaS-based retail brokerage platform designed to be embedded within one of the world’s largest technology companies. Before that, he drove transformative governance, risk, and compliance programs and created digital products at USAA. He also cofounded USAA Labs, an enterprisewide product innovation organization, and led the RegTech Initiative, spearheading the use of machine learning and natural language processing to solve risk and compliance challenges.

Voting History

Statement	Response
Companies should be required to make disclosures about the use of AI in their products and offerings to customers. Agree	“Customers have a right to know when AI is being used when it affects their privacy, data security, or personal experiences. Informed consent is crucial, particularly in sectors like health care, finance, and hiring, where AI can have significant impacts on individuals’ lives. Further, requiring disclosures in specific scenarios will serve to hold companies accountable for the ethical use of AI. This can encourage responsible AI development and deployment, mitigating risks such as bias, discrimination, and unintended consequences.”

Statement

Response

Companies should be required to make disclosures about the use of AI in their products and offerings to customers. Agree

“Customers have a right to know when AI is being used when it affects their privacy, data security, or personal experiences. Informed consent is crucial, particularly in sectors like health care, finance, and hiring, where AI can have significant impacts on individuals’ lives. Further, requiring disclosures in specific scenarios will serve to hold companies accountable for the ethical use of AI. This can encourage responsible AI development and deployment, mitigating risks such as bias, discrimination, and unintended consequences.”