An Inclusive Workshop to Develop Best Practices and Guidelines for Fairness, Ethics, Accountability, and Transparency in Computer and Information Science and Engineering

现代社会广泛地依赖于计算技术，在基于计算的研究、实践和教育努力中，有必要确定和/或制定解决公平、道德、责任和透明度（FEAT）的策略。本次研讨会将汇集具有fat相关专业知识的不同研究人员，探索最佳实践并整合不同的方法。计算社区将受益于将FEAT考虑纳入计算工件的设计和实现的系统方法和有效方法的识别。研究小组将召集具有研究和实践经验的不同专家，解决计算中的公平、道德、问责制和透明度问题。这些专家将在为期两天的研讨会上组成一个工作组。工作组将包括不同学科、人口结构和机构类型，包括大型研究密集型大学、历史上的黑人学院和大学、西班牙裔服务机构、教学机构和文理学院。研讨会将把学术界和工业界成员以及政府代表聚集在一起，考虑到每个部门对未来计算的作用和影响，这是至关重要的。政策学者、律师、统计学家、社会学家和哲学家，以及计算机领域更传统的专业知识来源（如计算机科学家和工程师），也将获得相关的见解。该小组将研究最佳实践，并寻求明确的策略，以解决基于计算的研究和教育中的壮举。这包括确定研究人员可以用来促进FEAT的方法方法，制定关于什么问题定义实践最有效的指导方针，并强调数据访问和数据包含的最佳实践。本次研讨会的成果将用于编写一份详细的报告，其中包括支持材料、一套指导方针和最佳实践，以解决基于计算的研究和教育工作中的FEAT问题。该奖项反映了美国国家科学基金会的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。

Modern societies rely extensively on computing technology, and there is a need to identify and/or develop strategies for addressing fairness, ethics, accountability, and transparency (FEAT) in computing-based research, practice, and educational efforts. This workshop will bring together diverse researchers with FEAT-related expertise to explore best practices and integrate disparate approaches. The computing community will benefit from the identification of systematic methods and effective approaches to incorporate FEAT considerations into the design and implementation of computing artifacts. The research team will convene diverse experts with research and practice experience addressing fairness, ethics, accountability, and transparency in computing. These experts will form a working group during a 2-day workshop. The working group will include different disciplines, demographics, and institutional types, including large research-intensive universities, Historically Black Colleges and Universities, Hispanic-Serving Institutions, teaching institutions, and liberal arts colleges. The workshop will bring academics and members of industry together along with government representatives, which is vitally important given the role and impact that each sector can have on the future of computing. Relevant insights will also be gained from bringing together policy scholars, lawyers, statisticians, sociologists, and philosophers along with the more traditional sources of expertise in the computing realm (such as computer scientists and engineers). The group will examine best practices and seek to articulate strategies for addressing FEAT in computing-based research and education. This includes identifying methodological approaches that researchers could employ to facilitate FEAT, instituting guidelines on what problem definition practices work best, and highlighting best-practices for data access and data inclusion. Results from this workshop will be used to compile a detailed report with supporting materials, a set of guidelines and best practices for addressing FEAT in computing-based research and educational efforts.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.