Neuro-symbolic AI represents the next frontier in artificial intelligence—an innovative approach that blends the strengths of deep neural networks with the logic and reasoning of symbolic systems. While neural networks excel at pattern recognition and learning from data, they typically operate as “black boxes.” Conversely, symbolic AI can reason with explicit rules and explain its … Read more
Hidden Bias in AI: Artificial Intelligence (AI) has revolutionised diverse industries, enhancing efficiency, decision-making, and innovation. Yet, amid its rapid adoption, a profound concern shadows its promise—the discovery that AI systems often inherit and perpetuate human biases hidden within data and algorithms. These biases, if unchecked, can amplify societal inequities, skew decisions, and erode trust … Read more
AI technologies are reshaping our world at an unprecedented pace, with their potential for improving lives matched only by their risks of causing harm. The tremendous power of these systems, especially when autonomous, demands a frank examination of their ethical implications, societal impact, and the responsibilities of those who design and deploy them. This article … Read more
AI Regulation Around the World in 2025: AI regulation in 2025 has become a defining element for businesses operating globally, shaping technological innovation, compliance strategies, and risk management practices. Countries and regions now offer contrasting—and often rapidly shifting—legal approaches, making it critical for organizations to understand where rules stand, how they are enforced, and what … Read more