How ROBUST is Artificial Intelligence ? ~ AI using Python
Srajan Jha (~srajan) |
The era of Artificial Intelligence is moving quite rapidly across the globe. It's being used in almost every application we know , from medical diagnosis to self driving cars and it's use is still growing exponentially.
But should we blindly trust AI ? Is this technology robust enough? Are we capable enough to handle it's power?
In this talk we will step back for a moment and look forward about the security issues and robustness of this technology. I'll be discussing the problems we can face , the precautions we have to take, etc. with the help of a famous problem, known as One Pixel Attack.
- A bit of Python
- Some knowledge of Machine Learning
- And a broader perspective
The content of the talk will be shared after the session in form of my Github Repository.
The speaker, Srajan Kant Jha, is a final year B.E. student who has been working on Machine Learning and Data Science from quite a while now. Nonetheless, he pivoted from C/C++ to Python and during the transition, has also developed some projects on the same. He used to blog at his leisure time and is still on a venture to provide the knowledge of ML and Data Science to enthusiasts through a project site.
Srajan is also the City Ambassador (and one of the speakers) of AI-Saturdays, which is a community of over 5000+ students(over 100+ cities) that helps people try their hands on Deep Learning and Artificial Intelligence, free of cost. Inspite of this, he still has a lot to discover in this growing industry. (Follow him on social media to know more)
- LinkedIn : https://www.linkedin.com/in/srajan-jha
- Github : http://github.com/srajan23 (not much updated)
- Facebook : https://www.facebook.com/srajan23