Speakers
Reva Schwartz (NIST) - "Delivering trustworthy AI through risk-aware culture"
Kevin Tupper (Microsoft) - "Empowering your Statistics with Better Stories"
Travis Hoppe (CDC/NCHS) - "Talk Title Coming Soon"
Moderator
Bob Sivinski (OMB & FCSM)
Reva Schwartz
Delivering trustworthy AI through risk-aware culture
Abstract: In this webinar Reva Schwartz will describe NISTs work in the area of Trustworthy and Responsible AI, including the AI Risk Management Framework and existing gaps in AI evaluation that make it difficult to generalize AI functionality to the real world.
Kevin Tupper
Empowering your Statistics with Better Stories
Abstract: In the realm of data-driven decision-making, the narrative crafted around statistical data often has a more significant impact than the data itself. "Empowering your Statistics with Better Stories" delves into this concept, focusing on how Generative AI can be instrumental in enhancing statistical storytelling. This presentation is designed to empower professionals in the statistical community with the knowledge and tools to utilize Generative AI in their data presentations. Attendees will learn the art of storytelling with data, understanding how to leverage AI to make their findings more impactful and influential in decision-making processes within the government sector.
Kevin's talk will explore:
- Varied Narratives from Identical Data: An exploration of instances where identical sets of statistical data have led to different narratives, highlighting the influential power of storytelling in data interpretation.
- The Influence of Stories in Decision-Making: Discussing the critical role of narrative in guiding decisions, often taking precedence over the raw data.
- Enhancing Impact with Generative AI: Providing insights on how Generative AI can assist statisticians and data analysts in creating persuasive narratives that accurately convey their findings and engage their audience.
- Practical Examples: Presenting specific examples where Generative AI has effectively transformed statistical data into powerful and compelling stories.
Travis Hoppe - Talk Title & Abstract coming soon!
About the Speakers
Reva Schwartz Reva Schwartz is a research scientist in the Information Technology Laboratory (ITL) at the National Institute of Standards and Technology (NIST) where she serves as Principal Investigator on Bias in Artificial Intelligence for NIST's Trustworthy and Responsible AI program. Her research focuses on evaluating the societal impacts of AI systems, improving organizational practices, and driving understanding of socio-technical systems within computational environments. Her background includes a forensic science posting for almost 15 years at the United States Secret Service, a temporary duty assignment at the National Security Agency, and adjunct researcher at the Johns Hopkins University Human Language Technology Center of Excellence. She has advised federal agencies about how experts interact with automation to make sense of information in high-stakes settings.
Kevin Tupper has over 20 years of experience in technology, spanning various sectors including startups, corporate businesses, and federal agencies. His focus is on making technology usable and effective for organizations, a principle he applies in his current role as Microsoft's Federal GenAI Evangelist. In this capacity, Kevin educates federal agencies on the practical applications of Generative AI and supports them in implementing this technology. Prior to this, Kevin led a team of Cloud Solution Architects at Microsoft, focusing on providing federal customers with secure and efficient cloud solutions. He also worked directly with several strategic U.S. Federal agencies helping them leverage data and AI for optimal results.Kevin holds a record of bringing value in his previous roles as well, including serving as Chief Technology Officer for multiple companies. Whether it's enabling millions of golfers to reserve tee times online or creating data warehouses capable of handling billions of responses, Kevin's expertise has proven beneficial across diverse applications. Kevin's talks are known for their straightforward approach, providing audiences with actionable insights on complex topics, all without the fluff.
Travis Hoppe (CDC/NCHS) - Bio sketch coming soon!
About the Moderator
Bob Sivinski (OMB & FCSM) is a Senior Statistician within the Statistical and Science Policy Office at the U.S. Office of Management and Budget. He is also a member of the Federal Committee on Statistical Methodology (FCSM).
The National Institute of Statistical Sciences (NISS) and the Federal Committee on Statistical Methodology (FCSM) are collaborating on a series of webinars on Artificial Intelligence (AI). The initial webinar took place on October 31, 2023 on AI in Federal Government: Uses, Potential Applications, and Issues. This series aims to benefit federal practitioners and managers by providing behind-the-scenes information on uses of AI in federal agencies and from insights on how agencies meet organizational, managerial, and ethical challenges in harnessing the power of AI. Participation by researchers and managers in the webinars can help streamline current efforts to adopt AI and inspire new endeavors. The NISS/FCSM webinar series creates unique opportunities not easily available through other forums or venues. Thank you to the American Statistical Association (ASA), NORC at the University of Chicago, & RTI International for sponsoring of the series.