From Privacy to Fairness in AI

“Responsible AI and AI governance also become a priority for AI on an industrial scale” according to Gartner 2020 hypecycle. Machine learning(ML) and Artificial intelligence(AI) solutions are getting deeper into our day-to-day lives. Currently, AI is empowering our convenience at the cost of our privacy. In the last few years, we have heard the news about big techs and startups facing lawsuits because of not compiling with new data governance laws. AI implementation in business has been facing several issues and challenges to solve them. This course aims to empower ML/AI researchers and industry leaders in understanding and mitigating the risks of AI. The workshop also provides a platform to exchange ideas and discuss some of the open problems in privacy, ethics and fairness surrounding AI.

Outline

Current challenges in business for ML/AI

1. Introduction to Privacy-Preserving ML/AI
2. Understanding the Ethics of AI
3. How to create fairness in AI

Note: ADaSci Members get 50% discount and Premium Members get 100% discount on the course.