Differences

This shows you the differences between two versions of the page.

--- public:t-709-aies-2025:aies-2025:principle_ai_ethics [2025/09/18 09:11] – leonard
+++ public:t-709-aies-2025:aies-2025:principle_ai_ethics [2025/09/18 10:12] (current) – leonard
@@ Line 30: / Line 30: @@
 |  Issues  | - Accountability issues of black-box systems, e.g., LLMs for medicine\\ - Safety issues: No transparency leads to no improvement, leading to less safety\\ - Others? |
 |  Implementation  | - Knowledge representation and reasoning using explicit causal networks, decision trees, etc.\\ - Explainability techniques (Post-hoc and real-time)\\ - Documentation including, for example, (ANNs) open training (and test) data and model types, r (Symbolic AI) reasoning types |
+  * If a public sector or institution makes a decision, the people whose rights have been affected should know whether an AI system plays a role in decision-making.
+  * In such cases, the people have the right to request explanations of why and how the decision has been made. The institution should provide information and revise the decision if proper explanations do not exist.
+  * The designers whose AI systems affect the rights of other humans should commit to choosing/designing explainable algorithms and systems.
 === Justice and Fairness ===