Seattle AWIS: Advancing Science & Industry with Generative AI

Seattle AWIS: Advancing Science & Industry with Generative AI

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Seattle AWIS (Association for Women in Science) and WIDS (Women in Data Science) invite you to their November 20th co-hosted program:

Join us for an insightful panel discussion co-hosted by Seattle AWIS and WiDS, where experts will explore the transformative potential of Generative AI in scientific research and industry. The panel will delve into how Generative AI is being applied to accelerate discoveries in science, improve industrial processes, and unlock new innovations across sectors.

We’ll also discuss key ethical concerns surrounding the adoption of AI, such as bias, transparency, and accountability, and explore the future directions of AI in these fields.

Whether you’re a researcher, industry professional, or someone curious about the cutting-edge applications of AI, this program will offer valuable insights into the opportunities and challenges that lie ahead.

Don’t miss this exciting opportunity to learn from leading voices at the intersection of science, technology, and ethics!

Wednesday – Nov. 20, 2024 – 6:00-8:00 pm

6:00 – 8:00pm In person 6:30 – 7:35pm Online

Meet the Panel

Alexandra Raleveski PhD
Institute for Systems Biology; Data Scientist & Machine Learning Engineer

Laura Szkolar Sienkiewicz PhD, PMP, RAC
Microsoft; Director, Data Governance & Regulation

Lucy Lu Wang PhD
UW Information School; AI Researcher, Assistant Professor

Robin Cosbey MS
Pacific Northwest National Laboratory (PNNL); Research Data Scientist in AI & Data Analytics Division

In-Person 
Fred Hutchinson Cancer Center, Thomas Bldg, Sze Conference Room
1100 Fairview Ave N, Seattle, WA

Virtual      
Live via Zoom

Registration requested for in-person attendance but not required.

Registration required for Zoom attendance to receive Zoom link in advance.

Seattle AWIS programs are FREE and WELCOME ALL

 

Date And Time

2024-11-20 @ 06:00 PM to
2024-11-20 @ 08:30 PM
 

Registration End Date

2024-11-20
 

Location

Online event