Addressing Bias in Generative AI: Top Strategies for Ethical Implementation
As organizations adopt generative artificial intelligence (GenAI) at a rapid pace, ethical concerns—particularly bias—are becoming critical to address. While these tools promise transformative productivity gains, they also risk amplifying societal inequalities embedded within their training data. For businesses to fully benefit from this technology, they must adopt a proactive, strategic approach to detect, prevent, and […]
Continue Reading