Unmasking Challenges in the Pursuit of Ethical AI
There is an intricate issue of bias within artificial intelligence (AI) algorithms, exploring the various forms, underlying causes, and far-reaching consequences. Prevalent biases in AI systems, such as pre-training bias and training data bias, and their detrimental effects on marginalized communities, perpetuate discrimination and inequality.
