Tag: AI bias

Transparency and Explainability in Large Language Model Decisions

Transparency and explainability in large language models are critical for trust and fairness. Without knowing how decisions are made, AI risks reinforcing bias and eroding public trust - especially in high-stakes areas like finance and healthcare.

Ethical Guidelines for Deploying Large Language Models in Regulated Domains

Deploying large language models in healthcare, finance, or justice requires more than just good intentions. Ethical guidelines must include continuous monitoring, explainability, accountability, and domain-specific compliance to avoid real-world harm and legal consequences.