Description
Product Category: Best Practices Guides
Format: PDF
Best Practices for Ensuring Fairness and Reducing Bias in AI Models
Fairness and bias mitigation in AI systems are critical challenges that impact both the ethical implications and practical effectiveness of machine learning models. As AI systems increasingly influence decisions affecting people’s lives, ensuring fairness isn’t just an ethical imperative—it’s essential for building reliable and trustworthy AI solutions. Here are best practices for identifying, measuring, and mitigating various forms of bias throughout the AI development lifecycle, from data collection to model deployment and monitoring. These practices aim to help organizations build more equitable AI systems while maintaining high performance standards.
Paid subscribers can login and download the PDF file. In addition to this, there are 100 other Best Practices guides in this series. For a complete list of Best Practices, please visit https://www.kognition.info/best-practices-guides/