Advancing Explainability Through AI Literacy and Design Resources

Abstract

3 4 I N T E R A C T I O N S S E P T E M B E R – O C T O B E R 2 0 2 3 designed to teach good practices for explainability. Explainability, put simply, provides humanunderstandable reasons and context for decisions made by an AI system [1,2]. In so doing, explainability benefits users and society by helping individuals make informed decisions about their use of AI systems, empowering civic engagement with AI, informing policymakers about the impacts of AI, and more. For these reasons, as AI has become more central in people’s lives, the public, the tech industry, regulators, and others have increasingly recognized explainability as a key aspect of Britni expertly navigates her kayak down the narrow channel, creating a new route to share online (Figure 1). Navigator, her boating app, lets her post routes and gives her a percentage of the advertising revenue. As Britni rounds a bend, a notification comes in from Navigator: “Your route ‘Marshy Inlet Trek’ has been suspended due to safety concerns and will be hidden temporarily from users.” Shocked that her most popular and lucrative (and in her experience very safe!) route has been suspended, Britni begins the process of investigating and contesting the suspension... Navigator is a fictional app we Advancing Explainability Through AI Literacy and Design Resources Patrick Gage Kelley and Allison Woodruff, Google