#AALL19: Artificial Intelligence and Implicit Bias
Are you biased? You may not think so, but what about implicit bias? Is bias the negative form of perspective?
The topic of bias may be uncomfortable and an area many would prefer to avoid. Most of us know we have a bias for many things; they can be as simple as preferring a booth over a table in a restaurant. But what about stereotypes or prejudices?
At the 2019 American Association of Law Libraries (AALL) Annual Meeting & Conference, the session “Artificial Intelligence and Implicit Bias” will discuss how bias can find its way into artificial intelligence-powered applications, whether through data or designers.
Legal and information professionals will have the opportunity to hear from a panel featuring multiple technology experts, including Dr. Khalid Al-Kofahi, vice president of Research & Development and head of the Center for Artificial Intelligence and Cognitive Computing for Thomson Reuters.
“Artificial intelligence and machine learning are not new technologies, and they have been powering products and services across industries, including the legal profession,” said Al-Kofahi, who recently contributed to a chapter for the book Responsible AI: A Global Policy Framework. “What we are seeing, however, is an accelerated rate of adoption of AI in increasingly more complex tasks. Through this session, we will share some of the design principles that aim to reduce bias in AI-powered applications, but we also will discuss important concepts like transparency, explainability and try to draw distinctions between the requirements of critical and non-critical applications of AI.”
During the session, information professionals can learn about different types of bias and which of these may be in AI powered systems today, the implications of such bias and how to incorporate that into our decision-making processes.
To view the full slate of panel participants and learn more about the session, click here.
