Algorithmic Transparency and Accountability
Algorithms now shape decisions in finance, healthcare, and social services, yet their inner workings are often opaque. When errors or biases occur, it’s challenging to identify who is responsible or how to seek redress. This lack of transparency undermines trust and fairness. The push for greater algorithmic transparency and clear accountability frameworks is gaining momentum in both public and policy spheres.