AI Meet & Greet

Bethesda Artificial Intelligence Meetup
Bethesda Artificial Intelligence Meetup
Public group

Needs a location


We are holding a virtual meetup (Thanks Ji for presenting and making your Zoom info available) due to COVID19.

This is our regular bi-weekly meeting open to anyone interested in Artificial Intelligence or Machine Learning, regardless of experience or background. The point is to meet others interested in the area and potentially form collaborations or study groups. For those new to AI/ML, please identify yourself so you can connect with others with similar interests.

We'll continue the format as the previous meetups - introductions, couple of short presentations, open discussions on topics of interest.

Let me know if you are interested and please post presentation to meetup or slack channel prior to the meetup.

A big thank you to our sponsor, Miner and Kasch, for covering the costs of this event!

As always, suggestions are most welcome!

Event Details
Personal Data Is The New Gold. Can Your AI Learn from Data You Don’t Own? -Data Privacy for Citizens, Businesses and Data Scientists
By: Changrong Ji

Data privacy is an increasingly critical issue of the digital age. Sweeping laws such as GDPR and California Consumer Privacy Act are being enacted. The implications are particularly profound in healthcare and financial sectors. Challenges abound in the 3 way tug-of-war of Privacy vs Utility vs Overhead. Modern privacy preserving techniques for Big Data and AI are raising to address the challenges. Changrong Ji of CareFirst BlueCross BlueShield will survey the state of data privacy, and discuss opportunities for learners, practitioners and entrepreneurs in this space with tremendous impact potentials.

• Data Privacy for Citizens
• Business and Legal Implications
• Privacy Preserving Techniques
• Differential Privacy
• Federated Learning
• Homomorphic Encryption
• Secure Multi-party Computation
• Ensemble models
• Resources for deeper dive

Join Zoom Meeting

Meeting ID:[masked]

One tap mobile
[masked],,[masked]# US (New York)
[masked],,[masked]# US (San Jose)

Dial by your location
[masked] US (New York)
[masked] US (San Jose)
Meeting ID:[masked]
Find your local number: