Identifying and Managing Bias in AI

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  • Government regulators
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ABOUT THIS WEBINAR
The integration of artificial intelligence (AI) and Big Data within insurance industries marked a pivotal shift toward data-driven decision-making process in underwriting, claims, processing, pricing strategies, and risk assessments. While AI provides increased operational efficiencies and enhanced predictive accuracies, it also poses inherent risk: model bias. Bias exists in many forms, is omnipresent in society, and can arise at multiple stages of actuarial data-driven decision making, from data collection and modeling to interpretation and implementation. Bias in AI is a complex, context-dependent topic.

In this webinar, our speakers, Reva Schwartz and Gabriella Waters will discuss categories of bias and how they may occur in the commission, design, development, and deployment of AI technologies that can be used to generate predictions, recommendations, or decisions and the challenge of bias related to three core areas: datasets; test, evaluation, validation, and verification; and human factors. This webinar is intended to meet the USQS bias requirement.

MODERATOR

Brian Jackson
General Counsel and Senior Director of Professionalism

SPEAKERS

Reva Schwartz
Washington, District of Columbia
Co-Founder, Civitaas | Research Scientist

Reva Schwartz is a measurement scientist focused on improving the fit of advanced technology in the real world. She builds evaluation methods to understand AI’s value and utility for organizations and the public, and how it transforms our culture and society. Reva is co-founder of Civitaas Insights, whose mission is to fuel technology that has practical utility in the real world. Civitaas is incubated within Humane Intelligence. Reva is also CEO of VernacuLab LLC, a research consultancy that helps companies improve their practices in the age of AI.

With a 20 year career spanning technology use, oversight and evaluation, she most recently served as a research scientist at the National Institute of Standards and Technology (NIST) AI Innovation Lab where she led the work on Bias in Artificial Intelligence and created and led NIST’s Assessing Risks and Impacts of AI (ARIA) Program to advance measurement science for the risks posed by AI to people and society. Reva was a member of NIST’s AI Risk Management Framework core writing team and chief architect of the AI RMF Playbook

Gabriella Waters
Washington, District of Columbia
Co-Founder, Civitaas | AI Researcher

Gabriella Waters is an AI researcher who serves as the inaugural Director of the Center for Responsible AI, Director of the Cognitive and Neurodiversity AI Lab, and the Robotics and Digital Twin Lab at Virginia State University. She is a founding member of the Maryland Responsible AI Council and an AI policy advisor at state, federal, and international levels. Gabriella has also served as a research associate at NIST in the AI Innovation Lab, where she led AI testing and evaluation efforts for the ARIA project. 

Gabriella is committed to increasing the diversity of thought in technology and advocates for interdisciplinary collaborations to advance innovation, responsibility, explainability, transparency, and ethics in AI development and application. Her research explores the intersections of human neurobiology & learning, the quantification of ethics in AI/ML systems, neuro-symbolic architectures, embodied AI, and the design of intelligent systems that leverage these foundations for enhanced human-computer synergy.  She is especially focused on developing technological innovations that support neurodiverse populations.

CONTINUING EDUCATION
The American Academy of Actuaries believes in good faith that attendance at this live professionalism webinar constitutes an organized activity as defined under the current Qualification Standards for Actuaries Issuing Statements of Actuarial Opinion in the United States, and that attendees may earn up to 1.2 organized, bias, and professionalism continuing education (CE) credits for attending this live webinar. 

ADDITIONAL INFORMATION
Registration for this webinar is limited to the first 1,000 registrants. Visit our webinar FAQs to learn more about our webinar policies, including group registration. For more information about this webinar, contact education@actuary.org.