Building An Ethical AI Future Through XAI Financing – Analysis – Eurasia Review

The rapid rise of artificial intelligence (AI) and machine learning (ML) across various sectors has led to human decision-making being progressively replaced by data-fed algorithms. With 42 percent of companies around the world reporting their exploration of AI adoption in 2022, algorithms have more power over our everyday lives than ever before. The adoption of automated processing means faster and more efficient decisions that can transform outcome accuracy while lowering costs. But these advantages are associated with serious concerns over biases and consumer harms. Training data that is incomplete, unrepresentative, or has historical biases reflected in it will lead to an algorithm that reproduces the same patterns.