Module 1: Decoding AI Fairness скачать в хорошем качестве

Module 1: Decoding AI Fairness

Foundations of Responsible AI and Governance This module introduces the fundamental principles of responsible AI governance, emphasizing that ethical oversight must extend far beyond mere technical proficiency. By examining failures in criminal justice, hiring, and healthcare, the source illustrates how automated systems often inadvertently perpetuate historical social biases through skewed data. It advocates for a structured framework of accountability, highlighting the importance of transparency, rigorous impact assessments, and continuous human intervention. Readers are encouraged to adopt philosophical and practical standards, such as the NIST and ISO guidelines, to ensure digital decisions remain fair and legally compliant. Ultimately, the material asserts that maintaining public trust requires a persistent commitment to documenting risks and learning from algorithmic errors.