多样性、公平和包容的维度

Steven Fraser, D. Mancl
{"title":"多样性、公平和包容的维度","authors":"Steven Fraser, D. Mancl","doi":"10.1145/3587062.3587068","DOIUrl":null,"url":null,"abstract":"This paper reports on the ACM SPLASH 2022 conference panel on the Software Profession Dimensions of DEI [Diversity, Equity, and Inclusion]. The panelists observed that increased awareness for the dimensions of DEI will help reduce inequity in systems and technologies. The panel further observed that there are dimensions of diversity to consider beyond age, color, gender, and physical ability. As technologists, we need to leverage diverse talents and perspectives, including by those who may not have in-depth domain knowledge or a university education specific to computer science or engineering. Panelists included academic researchers and industry practitioners: experts in human-computer interaction, teamwork, AI applications, systems design, and gender diversity issues. The hybrid organization of the panel enabled participants from Taiwan and North America to join the in-room Australian and New Zealand panelists. Panelists explored a variety of related topics, ranging from how software can cause harm to the risks of \"unconscious bias\" in R&D and the challenges of building diverse teams. Panelists shared observations that AI and ML systems can be negatively impacted by the bias inherent with inadequate or incomplete training data used to tune algorithms. The panel discussed and summarized questions to foster increased DEI awareness by software professionals, researchers, and community leaders.","PeriodicalId":432885,"journal":{"name":"ACM SIGSOFT Software Engineering Notes","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Dimensions of Diversity, Equity, and Inclusion\",\"authors\":\"Steven Fraser, D. Mancl\",\"doi\":\"10.1145/3587062.3587068\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reports on the ACM SPLASH 2022 conference panel on the Software Profession Dimensions of DEI [Diversity, Equity, and Inclusion]. The panelists observed that increased awareness for the dimensions of DEI will help reduce inequity in systems and technologies. The panel further observed that there are dimensions of diversity to consider beyond age, color, gender, and physical ability. As technologists, we need to leverage diverse talents and perspectives, including by those who may not have in-depth domain knowledge or a university education specific to computer science or engineering. Panelists included academic researchers and industry practitioners: experts in human-computer interaction, teamwork, AI applications, systems design, and gender diversity issues. The hybrid organization of the panel enabled participants from Taiwan and North America to join the in-room Australian and New Zealand panelists. Panelists explored a variety of related topics, ranging from how software can cause harm to the risks of \\\"unconscious bias\\\" in R&D and the challenges of building diverse teams. Panelists shared observations that AI and ML systems can be negatively impacted by the bias inherent with inadequate or incomplete training data used to tune algorithms. The panel discussed and summarized questions to foster increased DEI awareness by software professionals, researchers, and community leaders.\",\"PeriodicalId\":432885,\"journal\":{\"name\":\"ACM SIGSOFT Software Engineering Notes\",\"volume\":\"52 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2023-04-10\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACM SIGSOFT Software Engineering Notes\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3587062.3587068\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACM SIGSOFT Software Engineering Notes","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3587062.3587068","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

本文报告了ACM SPLASH 2022会议小组关于DEI的软件职业维度[多样性,公平性和包容性]。小组成员注意到,提高对DEI各方面的认识将有助于减少系统和技术方面的不平等。该小组进一步指出,除了年龄、肤色、性别和身体能力之外,还需要考虑多样性的其他方面。作为技术人员,我们需要利用不同的人才和观点,包括那些可能没有深入的领域知识或计算机科学或工程专业的大学教育的人。小组成员包括学术研究人员和行业从业者:人机交互、团队合作、人工智能应用、系统设计和性别多样性问题方面的专家。小组的混合组织使来自台湾和北美的参与者能够加入室内的澳大利亚和新西兰小组成员。小组成员探讨了各种相关主题,从软件如何造成伤害到研发中的“无意识偏见”风险,以及建立多元化团队的挑战。小组成员分享了他们的观察结果,即人工智能和机器学习系统可能会受到用于调整算法的训练数据不足或不完整所固有的偏见的负面影响。小组讨论并总结了一些问题,以提高软件专业人员、研究人员和社区领导人对DEI的认识。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dimensions of Diversity, Equity, and Inclusion
This paper reports on the ACM SPLASH 2022 conference panel on the Software Profession Dimensions of DEI [Diversity, Equity, and Inclusion]. The panelists observed that increased awareness for the dimensions of DEI will help reduce inequity in systems and technologies. The panel further observed that there are dimensions of diversity to consider beyond age, color, gender, and physical ability. As technologists, we need to leverage diverse talents and perspectives, including by those who may not have in-depth domain knowledge or a university education specific to computer science or engineering. Panelists included academic researchers and industry practitioners: experts in human-computer interaction, teamwork, AI applications, systems design, and gender diversity issues. The hybrid organization of the panel enabled participants from Taiwan and North America to join the in-room Australian and New Zealand panelists. Panelists explored a variety of related topics, ranging from how software can cause harm to the risks of "unconscious bias" in R&D and the challenges of building diverse teams. Panelists shared observations that AI and ML systems can be negatively impacted by the bias inherent with inadequate or incomplete training data used to tune algorithms. The panel discussed and summarized questions to foster increased DEI awareness by software professionals, researchers, and community leaders.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信