Prepare for questions about ethical considerations and model interpretability in AI projects. This guide covers principles of AI ethics, handling biases, privacy, interpretability techniques, and more.
Accountability
5 Articles
5
Uncover the ethical challenges posed by AI in healthcare, from data privacy to clinical decision-making. Understand the balance between potential and ethics.
Explore the ethical quandaries posed by AI-driven autonomous vehicles, drones, and robots. Delve into safety, privacy, and regulatory challenges
Unravel the importance of governance and regulations in AI. Dive into frameworks ensuring ethical use, accountability, and risk management in AI systems.
Explore methods to enhance AI model interpretability. Dive into techniques promoting transparency and explainability for trusted AI decision-making