Presentation in Spanish | Presentación en español
Presenter: Lori M., Area 29
Apply AI to data analysis, financial review, research, resource development, and continuity while keeping personal information, human judgment, and the realities of service rotation in view.
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Description
Apply AI data analysis for AA service to practical problems involving meeting records, group participation, financial reports, conference research, and resource development. The presentation shows how AI-assisted spreadsheets and scripts can compare local meeting information with Fellowship Connection data, identify gaps, visualize trends, summarize lengthy financial material, and support repeatable tools for future trusted servants. Additional examples include searchable service-document repositories, vote tracking, translation, and communications. Throughout the work, personally identifiable information is removed before processing, and AI is treated as a cognitive backstop rather than a substitute for source verification, policy judgment, or group conscience.
From the NAATW 2026 Workshop, Sept. 11-13, 2026 | San Francisco Bay Area, CA
