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

一个包容性研讨会，旨在制定计算机和信息科学与工程领域公平、道德、问责和透明度的最佳实践和指南

基本信息

批准号：
1903909
负责人：
Ayanna Howard
金额：
$ 10万
依托单位：
Georgia Tech Research Corporation
依托单位国家：
美国
项目类别：
Standard Grant
财政年份：
2019
资助国家：
美国
起止时间：
2019-03-01 至 2021-02-28
项目状态：
已结题

来源：
https://www.nsf.gov/awardsearch/showAward?AWD_ID=1903909&HistoricalAwards=false
关键词：
Inclusive Workshop Develop Best Practices

项目摘要

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.

现代社会广泛依赖计算技术，因此需要确定和/或制定策略来解决基于计算的研究、实践和教育工作中的公平、道德、问责和透明度 (FEAT)。本次研讨会将汇集具有 FEAT 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。计算社区将受益于系统方法和有效方法的识别，将 FEAT 考虑因素纳入计算工件的设计和实现中。研究团队将召集具有研究和实践经验的不同专家，解决计算领域的公平、道德、问责和透明度问题。这些专家将在为期 2 天的研讨会期间组成一个工作组。该工作组将包括不同学科、人口统计和机构类型，包括大型研究密集型大学、传统黑人学院和大学、西班牙裔服务机构、教学机构和文理学院。该研讨会将把学者、行业成员以及政府代表聚集在一起，考虑到每个部门对计算未来的作用和影响，这一点至关重要。通过将政策学者、律师、统计学家、社会学家和哲学家以及计算领域更传统的专业知识来源（例如计算机科学家和工程师）聚集在一起，也可以获得相关的见解。该小组将研究最佳实践，并寻求阐明解决基于计算的研究和教育中的 FEAT 的策略。这包括确定研究人员可以用来促进 FEAT 的方法，制定关于哪些问题定义实践最有效的指南，以及强调数据访问和数据包含的最佳实践。本次研讨会的结果将用于编写一份详细的报告，其中包含支持材料、一套指南和最佳实践，以解决基于计算的研究和教育工作中的 FEAT。该奖项反映了 NSF 的法定使命，并通过评估被认为值得支持利用基金会的智力优势和更广泛的影响审查标准。