Session 2-A

Fireside Chat: (Data) Ethics for AI

The burgeoning field of artificial intelligence (AI) hinges critically on data—the fuel that powers machine learning algorithms and enables AI systems to process, learn, and make decisions. Yet, as AI permeates various aspects of society, from healthcare to criminal justice, the ethical implications of data usage within AI systems can be lost in the larger conversation around what it means to design, develop, and deploy responsible AI. As such, this panel discussion aims to dissect the multifaceted data-specific ethical considerations related to data collection, processing, and output as AI systems continue to proliferate across public and private domains.

Join a panel of diverse experts from industry, academia, and the private sector to explore the ethics of scaled data usage (and in many cases production) as nearly every professional landscape seeks the balance between supporting AI innovation while proactively mitigating related risks. Panelists will discuss how (if at all) their respective industries have thought about data ethics in the past, provide real-world examples of the current moral quandaries they are engaging with surrounding data and AI, and provide a forward-thinking view of how they see AI shifting the discourse on data ethics in the future. Through this lens, the panel seeks to ignite a forward-thinking conversation on how data professionals can ethically steer the rapidly evolving landscape of AI, ensuring that these technologies are developed and implemented in a manner that respects human dignity, equity, and justice.

In an era where data breaches and discriminatory algorithms frequently headline news stories, this session will aim to provide the audience with a deeper understanding of the ethical imperatives for AI and tangible take aways that practitioners can utilize to make informed decisions around ethical AI practices in their respective fields.

Speaker

moderator: Allison Banzon

AI Ethicist, SAIC

panelist: sarah weber

Senior Appellate Attorney, California Court of Appeal, Fourth Appellate District

panelist: Dr. Laura prietula

Deputy Chief Information Officer, Electronic Health Record Modernization Integration Office, Department Of Veterans Affairs

Welcome to the CDOIQ Symposium, where innovation meets data excellence! Our symposium sponsors play a crucial role in shaping the future of data and information quality. As champions of cutting-edge technologies, thought leadership, and industry advancements, these forward-thinking organizations contribute to a dynamic ecosystem dedicated to harnessing the power of data for transformative business outcomes. Join us in recognizing and celebrating the invaluable support of our sponsors, who drive the conversation and inspire breakthroughs in the rapidly evolving landscape of Chief Data and Information Quality. Together, we pave the way for a data-driven future that propels organizations to unprecedented heights of success.