Beth Rudden

Discoveries made through examined failures are essential to human evolution. Events become learnings, learnings become narratives, and narratives become templates that can correct for mistakes in future implementation. Once used primarily for survival, these tactics of social advancement have expanded to serve more complex, strategic purposes with the increased use of tools and technologies to supplement human action. But in a community motivated more by a desire for success than insight, outcomes can often take precedence over methodology — and obscure the organic action that will lead to real discovery. For Beth Rudden, distinguished engineer at IBM Corp., the current rise of artificial intelligence and the controversies surrounding its ethical use in a socially homogeneous tech industry bring this growing discord to a head. In this talk, she will advocate for the urgent need to demand data lineage and provenance in order to assure trust in artificial intelligence. She will describe real uses cases and bring to light methods and processes your organizations can implement now for future, more responsible implementations of AI.