4 posts
Public sector AI consulting shows how to build transparent, accountable and explainable solutions across citizen services, administrative automation and public data governance.
What is automated decision-making, which decisions fall under KVKK, and how are the right to object, human intervention, and transparency ensured? A practical design guide.
What is a decision tree? A decision tree is a rule-based, interpretable machine learning model that performs classification or regression by splitting data through a series of yes/no questions. This guide: a clear definition, how a decision tree works, information gain and gini, pruning, overfitting, its relationship to random forest, sector examples, 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.