3 posts
AI ethics is not a poster of principles; this guide turns each principle into a control point, a testable criterion, an assigned owner, and an auditable trail across the delivery lifecycle.
What is responsible AI? Responsible AI is the set of principles and practices that ensure AI systems are designed and used in a fair, transparent, accountable and safe way. This guide: a clear definition, ethical principles, transparency and accountability, AI ethics, KVKK/GDPR, enterprise implementation, limits, and FAQs.
What is explainable AI? Explainable AI (XAI) is the set of methods that make a model's decision — which inputs and reasons it rests on — understandable to a human. This guide: a clear definition, the black-box problem, how XAI works, SHAP and LIME, model transparency, KVKK/GDPR, sector examples, and FAQs.