How to Build Trust in Machine Learning: Practical Steps for Transparency, Explainability, and Governance
Trust and transparency are the foundation for adopting machine-learning systems across industries. As these algorithmic systems take on decision-making roles—from loan approvals to medical triage—organizations and individuals need clear ways to evaluate how they work, why they make certain recommendations, and how to hold them accountable. Why transparency mattersOpaque systems create real-world risks: biased outcomes, […]