
Artificial Intelligence 101: Its Applications and Concepts in Gerontological Research and Education
Recorded On: 10/31/2024
-
Register
- Non-Member - Free!
- Comp Member - Free!
- Emeritus Member - Free!
- Regular Member - Free!
- Retired Member - Free!
- Spouse Member - Free!
- GSA Staff - Free!
- Transitional Member - Free!
- Graduate Student/Post-Doc Member - Free!
- Undergraduate Student Member - Free!
Are you curious about artificial intelligence (AI) and its potential to revolutionize aging research and education? Join us for this informative webinar that provides a comprehensive overview of AI, from its fundamental concepts to its practical applications as the tool exponentially grows. As we approach the GSA Annual Scientific Meeting, where the Interdisciplinary Session as part of our Policy Series will focus on AI in aging research, you’ll learn how AI is being used to analyze complex biological data, develop predictive models for age-related diseases, and personalize educational and clinical healthcare experiences for older people. Explore the wide range of AI tools and products available, including machine learning algorithms, natural language processing techniques, and robotic systems. Gain valuable insights into key considerations when purchasing AI solutions, such as cost, scalability, and ethical implications. By the end of this webinar, you will have a solid understanding of AI and its potential to enhance your research and teaching endeavors as well as some ethical considerations.
Learning Outcomes:
- Gain a foundational understanding of AI: Grasp the fundamental concepts of AI, including machine learning, deep learning, and natural language processing.
- Explore AI applications in aging research and education: Discover how AI is being used to analyze large datasets, develop predictive models for age-related diseases, and personalize educational experiences for older people.
- Navigate the AI landscape: Become familiar with the various AI tools and products available, their capabilities, and key factors to consider when making purchasing decisions, such as cost, scalability, and ethical implications.
Angie Perone, PhD, JD, MSW, MA (Moderator)
Assistant Professor
UC Berkeley
Dr. Perone is the Director of the Center for the Advanced Study of Aging Services and an Assistant Professor at the University of California, Berkeley School of Social Welfare. She is a licensed attorney and interdisciplinary scholar. Prior to her current role, she previously served as a senior health policy fellow at the U.S. Senate and the U.S. Department of Health and Human Services through the Centers for Medicare and Medicaid Services. She also practiced law for nearly ten years and served as the Executive Director for a community-based nonprofit serving LGBTQIA+ older adults in the United States. Her research examines equitable aging, including intersections in long-term care, LGBTQIA+ aging, and health policy.
Walter R. Boot, PhD, FGSA
Professor of Psychology in Medicine
Weill Cornell Medicine
Walter R. Boot, PhD, is the Irving Sherwood Wright Professor in Geriatrics II and Professor of Psychology in Medicine at Weill Cornell Medicine. He is one of five principal investigators of the multidisciplinary Center for Research and Education on Aging and Technology Enhancement (CREATE), an award-winning center funded by the National Institute on Aging that focuses on ensuring older adults can fully benefit from technology. He also serves as Co-Director of the ENHANCE (Enhancing Neurocognitive Health, Abilities, Networks, & Community Engagement) Center, which is supported by the National Institute on Disability, Independent Living, and Rehabilitation Research. ENHANCE focuses on how technology can support older adults with cognitive impairments. He is a Fellow of the American Psychological Association (APA) and the Gerontological Society of America (GSA).
Catherine Diaz-Asper, PhD
Associate Professor of Psychology, Marymount University
Research Fellow, Marymount University Center for Optimal Aging
Dr. Diaz-Asper is an Associate Professor of Psychology at Marymount University in Virginia and a neuropsychologist with over 20 years of experience working with older adults in research and clinical settings. She is a Fellow at Marymount University's Center for Optimal Aging and her research concerns using artificial intelligence to analyze speech as a method to screen for cognitive decline.
Key:




