As AI-powered software becomes more and more prevalent, more and more individuals – from every walk of life, at every level of education, across the entire socioeconomic spectrum, of every gender, race, ethnicity and age – will be affected by it. Because of this, governments in India, the US, Europe, and beyond, are currently passing legal requirements requiring that these divierse individuals have recourse to AI-generated behaviors, and can take appropriate action. If we in software engineering ignore the new laws, the AI-powered software we build may soon become illegal.

So, how do we build the required actionability into our AI-powered software? End-User Software Engineering may hold the answers. End-User Software Engineering is a subdiscipline of Software Engineering that finds ways to enable even people with no software engineering training to do software engineering tasks like specifying requirements, testing systematically, and debugging. In this talk, I explore how principles and practices from End-User Software Engineering research may hold the keys to building AI-powered software that complies with the emerging legal requirements.