Introduction to Responsible AI: Implement Ethical AI Using Python

© The Author(s), under exclusive license to APress Media, LLC, part of Springer Nature 2023

A. Manure et al.Introduction to Responsible AIhttps://doi.org/10.1007/978-1-4842-9982-1_2

2. Bias and Fairness

Avinash Manure¹  , Shaleen Bengani² and Saravanan S³

(1)

Bangalore, Karnataka, India

(2)

Kolkata, West Bengal, India

(3)

Chennai, Tamil Nadu, India

 

In the artificial intelligence (AI) landscape, bias’s impact on decisions is paramount. From individual choices to complex models, bias distorts outcomes and fairness. Grasping bias’s nuances is essential for equitable systems. It’s a complex interplay of data and beliefs with profound implications. Detecting and mitigating bias is empowered by technology, nurturing transparent and responsible AI. This ongoing ...