Beyond IRBs: Designing Ethical Review Processes for Big Data

机构审查委员会(IRBs)已被理解并广泛应用于技术领域，特别是与信息安全和隐私有关的领域，以保护计算机研究中的人类受试者。然而，IRBs并不能解决所有问题。本研讨会在白皮书、评论文章和公众评论中探讨了更广泛的道德审查程序的概念。这一多学科研讨会探讨了组织如何为公共规则之外的数据用途开发伦理审查委员会。研讨会考虑了基于人类主题研究的基本贝尔蒙原则的伦理准则如何帮助实体做出谨慎的决定，以平衡数据实验与广泛的个人隐私和公民自由面临的风险。它总结了从医学研究伦理界和现有的机构审查委员会(IRBs)吸取的经验教训。这次研讨会的目的是将学术界和工业界的专家以及伦理学家、隐私官员和政府监管机构聚集在一起，制定计算机科学研究的伦理审查蓝图，并为那些可能寻求伦理意见的人提供指导，以从事重要的研究，并找到平衡来促进研究。

Institutional Review Boards (IRBs) have become understood and widely used in technical fields, especially those relating to information security and privacy, as necessary to protect human subjects in computer studies. However, IRBs do not address all issues. This workshop explores the notion of a broader ethical review procedure in white papers, opinion pieces, and public comments. This multidisciplinary workshop develops how organizations can develop ethical review boards for data uses outside the Common Rule.The workshop considers how ethical guidelines, based on the foundational Belmont principles for human subject research, can help entities make careful decisions to balance data experimentation against risks to individual privacy and civil liberties broadly. It surveys lessons drawn from the medical research ethics community and existing institutional review boards (IRBs). The purpose of this workshop is to bring together experts in academia and industry, as well as ethicists, privacy officials, and government regulators, to develop a blueprint for ethical reviews for computer science research, and provide guidance to those who might seek an ethical opinion to engage in important research, and find a balance to promote research.