Cover art for Mitigating Bias in Machine Learning
Published
Mcgraw-Hill Book Co, October 2024
ISBN
9781264922444
Format
Softcover, 304 pages

Mitigating Bias in Machine Learning

Not in stock
Fast $7.95 flat-rate shipping!
Only pay $7.95 per order within Australia, including end-to-end parcel tracking.
100% encrypted and secure
We adhere to industry best practice and never store credit card details.
Talk to real people
Contact us seven days a week – our staff are here to help.

This practical guide shows, step by step, how to use machine learning to carry out actionable decisions that do not discriminate based on numerous human factors, including ethnicity and gender. The authors examine the many kinds of bias that occur in the field today and provide mitigation strategies that are ready to deploy across a wide range of technologies, applications, and industries.

Edited by engineering and computing experts, Mitigating Bias in Machine Learning includes contributions from recognized scholars and professionals working across different artificial intelligence sectors. Each chapter addresses a different topic and real-world case studies are featured throughout that highlight discriminatory machine learning practices and clearly show how they were reduced.

Mitigating Bias in Machine Learning addresses:

Ethical and Societal Implications of Machine Learning

Social Media and Health Information Dissemination

Comparative Case Study of Fairness Toolkits

Bias Mitigation in Hate Speech Detection

Unintended Systematic Biases in Natural Language Processing

Combating Bias in Large Language Models

Recognizing Bias in Medical Machine Learning and AI Models

Machine Learning Bias in Healthcare

Achieving Systemic Equity in Socioecological Systems

Community Engagement for Machine Learning

Related books