Strategies and Practices for Responsible AI
Webinar Speaker: Fern Halper, TDWI VP Research, Senior Research Director for Advanced Analytics
Date: Wednesday, April 17, 2024
Time: 12:00 p.m. PT / 3:00 p.m. ET
Enterprises are increasingly relying on artificial intelligence (AI) to gain a competitive edge. AI technologies are being deployed across a myriad of applications including churn prediction, disease detection, predictive maintenance, network optimization, and fraud prevention. Generative AI has not only increased the desire to adopt AI in various organizations; it has also introduced new challenges in responsible AI implementation as these entities transition from experimentation to operationalization. The increasing reliance on AI makes it more important than ever that AI is used responsibly, to ensure business outcomes and minimize risk.
With increasing regulation such as the recent EU AI Act, responsible AI is critically important not only in highly regulated industries but across all sectors. The responsible deployment of AI involves a comprehensive approach to mitigating business, legal, and ethical risks across people, processes, and technology—managing model biases, ensuring explainability, and protecting privacy.
Join TDWI, Domino, and NVIDIA to explore strategies and practices that organizations can adopt to navigate the complexities of responsible AI. Topics include:
- The business case for responsible AI
- Key pillars of responsible AI
- Strategies for getting started putting responsible AI strategy into practice
- Best practices for mitigating business, legal, and ethical risks
- Critical up-to-date developments on the EU AI Act
Guest Speakers
Diya Wynn
Responsible AI Lead
AWS
Diya is a Responsible AI Lead at AWS that started and led customer engagement globally on Responsible AI. In 2023, she was named one of Business Insiders top 15 in Enterprise AI and top 100 in AI, one of 100 Brilliant Women in AI EthicsTM, received the VentureBeat Women in AI - Responsible AI award. She makes Responsible AI practical and accessible. Her focus with organizations is the intentional action of building trust in AI by mitigating risks and uncovering potential unintended impacts related to its development, deployment and its use. She has met with legislators and policy makers globally to provide perspective to influence imminent regulation and policy on AI. For the first 15 years of her career, she worked in early-stage companies in roles focused on scaling products for acquisition and in consulting. She is an author and international speaker; serves on non-profit boards; volunteers through multiple organizations; and guest lectures on responsible and inclusive technology.
When she isn’t working hard on the future of AI, she’s working hard to influence the future. For Diya, this starts at home with her two sons but extends to the dozens she mentors, whom she encourages to color outside the lines, defy the odds, and redefine boundaries.
Kjell Carlsson
Head of AI Strategy
Domino
Kjell Carlsson is the head of AI strategy at Domino where he advises organizations on scaling impact with AI technologies. Previously, he covered AI, ML, and data science as a principal analyst at Forrester Research. He has written dozens of reports on AI topics ranging from computer vision, MLOps, AutoML, and conversation intelligence to augmented intelligence, next-generation AI technologies, and data science best practices. He has spoken in countless keynotes, panels, and webinars and is frequently quoted in the media. Dr. Carlsson is also the host of the Data Science Leaders podcast and received his Ph.D. from Harvard University.
Fern Halper, Ph.D.