Explainability (XAI) Gap Analysis: Autonomous Vehicles, Weapons Systems, Medical Diagnostics Fundamentals

Analyze explainability gaps in key AI domains with "Explainability (XAI) Gap Analysis: Autonomous Vehicles, Weapons Systems, Medical Diagnostics Fundamentals." This course addresses the need for transparent AI decision-making across critical applications. Cybersecurity is highlighted as a core concern since black-box systems may conceal malicious manipulations or systemic errors. Learn how explainability supports forensic analysis, threat detection, and regulatory compliance. In domains like autonomous weapons and diagnostics, explainability improves cyber defense by enabling human auditors to detect unauthorized behavior, ensuring secure and verifiable AI deployment.