In this episode, explore the essential pillars of building ethical AI—covering legal compliance, bias detection and mitigation, transparency in data and algorithms, robust data privacy and security, and the importance of ongoing monitoring and improvement—to ensure that AI and GenAI initiatives are fair, trustworthy, and aligned with both ethical standards and customer expectations blog.datamatics.com.

https://blog.datamatics.com/how-ethical-is-your-ai