Responsible algorithmic decision-making
分析了算法决策可能带来的隐私丧失、社会权力失衡等伦理挑战，并提出了一个七步路线图，帮助管理者和政策制定者负责任地实施算法。
Algorithmic decision-making - the use of computational methods that enable machines to automatically complete tasks and/or make decisions - is emerging as a critical source of competitive advantage for organizations. However, despite many benefits, there is an inherent dark side associated with it that can manifest issues ranging from a loss of privacy for individuals to societal power imbalance. Managers and policymakers alike need to be able to understand potentially unethical consequences that can arise from algorithmic decision-making before they can fully manifest. This article aims to support this undertaking by identifying, analysing, and explaining the challenges that can arise from algorithmic decision-making, and by contributing a seven-step roadmap to those wanting to responsibly implement and benefit from algorithms today.