Ethics and Bias in AI: Bridging the Gap via Interdisciplinary Collaboration

Lecture Center Concourse

As decision-making becomes increasingly automated in the modern world, how do we ensure that Artificial Intelligence (AI) is applied ethically? One approach involves answering the calls for greater collaboration, between humanities and STEM, to address the gap between "the two cultures" and endeavor towards a more unified, holistic approach to developing and regulating advanced technology. Here, we look at a specific issue of AI Bias, both in terms of technical inception and managing legal and social impacts. Furthermore, this research investigates a broader question: what can we do to ensure that technological developments are aligned with an inclusive and improvement-oriented future - rather than merely regurgitating the historical injustice, bias, or marginalization? We examine these issues as a transdisciplinary pair of undergraduate researchers in Informatics & Computer Science and Law & Humanities.