04-19, 09:00–10:30 (US/Eastern), Room 130
SciPy is a powerful library for scientific and technical computing in Python. The primary objectives of this presentation are to explore the core concepts of Responsible AI and to demonstrate these concepts with SciPy.
The tutorial provides an introduction to Responsible AI using SciPy.
This presentation will begin with an overview of Responsible AI concepts and of SciPy's core features. Following this, there will be a tutorial on how to implement Responsible AI concepts in SciPy.
The following items will be covered during the tutorial.
- Data Processing and Validation
- Bias Detection and Mitigation
- Sensitivity Analysis
- Explainability and Transparency
Each topic will be demonstrated with examples, including links to extended tutorials featuring real-world applications from the healthcare industry.
By the end of this session, attendees will have a solid understanding of how to use SciPy for Responsible AI Applications. Additionally, they will be able to apply these concepts to their own projects immediately.
No previous knowledge expected
