Beyond Bias: Crafting Fairness in Pythonic Machine Learning Systems - Rashmi Nagpal
Beyond Bias: Crafting Fairness in Pythonic Machine Learning Systems - Rashmi Nagpal - PyCon Italia 2024
Elevator Pitch:
Have you ever wondered how we can quantify and rectify biases in predictive policing algorithms using Python? In this talk, let's discover techniques which address bias in machine learning systems and build the orchestration of algorithms for fair and harmonious systems.
Description:
Artificial intelligence systems have woven their influence into every facet of our lives, from the physical to the virtual, shaping our world with data and algorithms. But, have you ever thought about the biases in the algorithms behind predictive policing?
In this talk, we'll explore this question. Firstly, we'll unveil the critical significance of quantifying and rectifying biases within machine learning systems, using Python. Through a live demo, we will delve into practical techniques designed to address bias, and orchestration of algorithms that lay the foundation for the creation of fair and equitable machine learning systems. Lastly, we'll discuss the bigger picture—how these fair algorithms can contribute to a just and inclusive society.
Learn more: https://2024.pycon.it/event/beyond-bi...
#MachineLearning #BestPractice #CodeAnalysis #JupyteriPythonNotebook #Testing