The recent boom in artificial intelligence gives us a fascinating glimpse of future possibilities, such as the emergence of agentic AI and powerful multimodal AI systems that have also become increasingly mainstream.
But even as AI development blazes ahead, there are lingering questions about algorithmic bias. This term refers to how AI systems can inadvertently reflect and augment prejudices from their creators or from skewed training data, thus potentially producing unfair outcomes based on gender, race or age, and potentially perpetuating…