Open Source Responsible AI Evening Meetup
Details
To attend you must register https://luma.com/j4upg6c2
Introduction
Join us for an evening of open source AI. During the first hour, we'll start with some hands-on for students about a coding assistant called Bob (although all can join and learn).
Students can compete in these challenges:
July: Challenge 1 | August: Challenge 2 | Total Prize Pool $15,000 USD
September: Grand Winner Announcement | October: Winner Spotlight at TechXchange Atlanta
At 5:45, there will be sessions on Sovereign AI.
At 6:15pm we'll have refreshments and networking, followed by sessions that describe AI open source activities at the Linux Foundation, the United Nations, and the community at large. There will be plenty of time for Q&A.
We are thrilled that some of our speakers are also presenting or leading sessions at the United Nations Open Source Week on June 22-26.
The event will be hosted by Dr Joan DeBello of St John's University and Susan Malaika of IBM & Generative AI Commons. Much appreciation to St John's University for providing the space and for their support.
Agenda
5:00-6:00pm: Introduce Bob and IBM Skills Build: AI Builders Challenge - Hands-on workshop for students - All are welcome (bring your laptops) - BJ Hargrave, Senior Technical, Staff at IBM
5:45-6:15pm: Sovereign AI - Cara Delia, Open Source & AI Program Office & Brian Proffitt, Community Outreach, Open Source Program Office - at Red Hat
6:15-6:30pm: Pizza, refreshments and networking
6:30-6:45pm: Open Source AI for Good: Granite, Docling and the Genie.AI Framework – Lauren McHugh, Program Director, AI Innovation at IBM
6:45-7:45pm: Lightning Talks/Demos: Open Source AI Projects like:
Mellea - BJ Hargrave, Senior Technical Staff
Trusty AI - Sai Chandra Pandraju, Machine Learning Engineer
AssetOpsBench - Dhaval Patel, Senior Technical Staff
IT Bench – Rohan Arora, Senior Software Engineer
Responsible Generative AI Framework (RGAF) at the LF-AI and Data – Anni Lai, Generative AI Commons Co-Chair at the Linux Foundation
Followed by Q&A, news from local communities (such as IEEE & ACM Chapters, Women in Data Science, PyData), and networking