WEF paper proposes principles to prevent discriminatory outcomes in machine learning OpenGovAsia

The World Economic Forum (WEF)'s Global Future Council on Human Rights recently issued a white paper to provide a framework for developers to prevent discrimination in the development and application of machine learning (ML). The paper is based on research and interviews with industry experts, academics, human rights professionals and others working at the intersection of machine learning and human rights. The paper proposes a framework based on four guiding principles - active inclusion, fairness, right to understanding, and access to redress - for developers and businesses looking to use machine learning. Artificial intelligence systems based on machine learning are already being used to make decisions which have significant, life-altering impact on people, such as hiring of job applicants, granting loans and releasing prisoners on parole. Machine learning systems can help to eliminate human bias in decision-making, but they can also end up reinforcing and perpetuating systemic bias and discrimination.