Addressing Bias and Discrimination in Algorithmic Decision Making within the Legal Framework
Bias and discrimination in algorithmic decision making have become critical concerns in the age of digital transformation. As algorithms increasingly influence fairness, justice, and equal opportunity, understanding their unintended biases is essential for ensuring accountability. Would you like to expand on how these biases affect various sectors or explore the legal frameworks addressing these issues?…