Articles for tag: AI, Artificial Intelligence, Ethics, Governance, Technology, Trustworthy AI, XAI

May 21, 2025

Mathew

Building Trustworthy AI: A Roadmap for 2025 and Onward

Building Trustworthy AI: A Roadmap for 2025 and Onward

Building Trustworthy AI: A Roadmap for 2025 and Onward Artificial Intelligence (AI) is rapidly transforming industries, research, and daily life. As AI systems become more integrated into critical processes, ensuring their trustworthiness is paramount. This article outlines a roadmap for building trustworthy AI, focusing on key areas that will shape its development and deployment in 2025 and beyond. Defining Trustworthy AI Trustworthy AI is characterized by several key attributes: Reliability: AI systems should consistently perform as intended under various conditions. Safety: AI should not pose unacceptable risks to individuals or society. Transparency: The decision-making processes of AI should be understandable

May 16, 2025

Mathew

Explainable AI (XAI): Will We Ever Truly Understand AI Decisions? (2025+)

Explainable AI (XAI): Will We Ever Truly Understand AI Decisions? (2025+)

Explainable AI (XAI): Will We Ever Truly Understand AI Decisions? (2025+) Artificial Intelligence (AI) is rapidly transforming industries, powering everything from self-driving cars to medical diagnoses. However, as AI systems become more complex, their decision-making processes become increasingly opaque. This lack of transparency raises concerns about bias, accountability, and trust. Enter Explainable AI (XAI), a field dedicated to making AI decisions more understandable to humans. The Need for Explainable AI The ‘black box’ nature of many AI algorithms, particularly deep learning models, makes it difficult to understand why a particular decision was made. This lack of transparency can have serious