{"title":"A Welcome Message from the ISTAS21 Conference Co-Chairs","authors":"","doi":"10.1109/istas52410.2021.9629202","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629202","url":null,"abstract":"","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"35 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121013415","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Algorithmic racism: Racial perception and socioeconomic dimensions in digital image banks","authors":"Emilly F. F. Lima, Rui de Moraes Júnior","doi":"10.1109/istas52410.2021.9629193","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629193","url":null,"abstract":"Algorithmic racism can be understood as the reproduction of racist stereotypes and practices in computational mechanisms, such as search results and advertisements, due to the biased training of algorithms and databases that replicate and intensify structural racism. Recent studies show how digital image banks reproduce several of these stereotypes, contributing to the perpetuation of oppression and microaggression against subalternate groups. Intending to understand this process, the aim of this study was to investigate the representation of racial and socioeconomic perceptions in digital image banks. Searches were carried out in Freepik, Pexels, and Pixabay banks, using the keywords Poverty, Misery, Wealth, and Money, which are indicators of low and high socioeconomic status, respectively. These words were validated in a survey carried out by the researchers to find which words are most associated with socioeconomic indicators. Free image banks and keywords in Portuguese were chosen to bring the research method closer to the reality of the behavior of most Brazilians. The searches on the three platforms totaled 6200 images, independently evaluated by three judges who also assigned a valence (positive, negative, or neutral) to each one of them. In the preliminary analyses, although the words Poverty and Misery are considered indicators of low socioeconomic status, a significant amount of images (about 40%) were evaluated by the judges as medium and high status. In the results of the Wealth and Money indicators, 60% of the images are illustrations or photos of material goods, and among the few people that appear, most are white (78%). There is still a long way to go against the structural problems of society and their reflexes on algorithms, but studies like this are important to raise questions about the content we produce and consume, as well as the way we browse the internet.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"24 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114190473","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Deep brain stimulation: At your own risk","authors":"Lauryn Remmers, Katina Michael","doi":"10.1109/istas52410.2021.9629205","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629205","url":null,"abstract":"Deep Brain Stimulation (DBS) surgeries are not new, although they were only granted approval in the U.S. by the U.S. Food and Drug Administration (FDA) in 2002 for advanced Parkinson’s Disease (PD). In 2016, DBS surgery was approved for earlier stages of PD. This does not mean that DBS surgery, generally considered minimally invasive, does not come without commensurate risks. The Mayo Clinic identifies DBS as a serious and potential risky procedure, whereby those eligible must carefully weigh pros and cons. The aim of this paper is to provide a general overview of deep brain stimulation surgery and to present the findings of available informational resources on 14 hospital and medical center web sites that were reviewed, pertaining to surgical procedures and policies: pre-operative to post-operative. The article focuses on critiquing available educational DBS materials and their adequacy in addressing potential risks of DBS surgery. The findings indicate that hospital informational resources on the DBS surgical technique reaffirm each other’s educational materials and that they positively inform patient decision-making. These factors can be linked to better post-operative recovery. However, the materials provided by the hospitals overemphasize the positive aspects of DBS with relatively little detail about potential side effects. This article also outlines the potential short-term and long-term side effects of DBS surgery as identified by the DBS educational literature found on the hospital web sites reviewed.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"87 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124040807","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Automated generation of privacy policy using deep models","authors":"Nastaran Bateni, Rozita Dara","doi":"10.1109/istas52410.2021.9629155","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629155","url":null,"abstract":"Personal information protection and compliance with privacy regulations are becoming increasingly important due to a large number of security and privacy breaches. These privacy breaches can harm individuals in both personal and social contexts. Privacy policies are the primary means of communication with which service providers could inform users about the data collection and sharing practices. The content and transparency of these legal documents are of importance as they can help users make decisions about the service providers’ data privacy practices and can build trust with the users. Although many regulations and best practices have provided recommendations and guidelines on the content of privacy policies, research has shown that the content of these documents is usually incomplete and miss important topics. To address this issue, we propose and validate the use of automated generative models for creating the content of privacy policies. These generative approaches use deep learning models to generate enriched data practices and text for privacy policies. In this study, we trained two generative models (Long Short-Term Memory (LSTM) and bidirectional Long Short-Term Memory bi-LSTM) on annotated privacy policies to automatically generate privacy data practices. Training and testing were performed on three levels of paragraph, sentence, and data practice. Our findings have shown promising results and have suggested that models trained on legal data practices using bi-LSTM algorithm create more accurate results.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131309205","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Robyn Ruttenberg-Rozen, K. Hynes, Sarah Habibi, Sanya Cardoza, Jennifer Muchmaker
{"title":"Towards a community of care: Counterspaces for women in sTem education","authors":"Robyn Ruttenberg-Rozen, K. Hynes, Sarah Habibi, Sanya Cardoza, Jennifer Muchmaker","doi":"10.1109/istas52410.2021.9629141","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629141","url":null,"abstract":"Despite significant research and intervention efforts there remain significant disparities with the retention of women and women of colour in postsecondary STEM programs. These programs are often inhospitable to women. STEM counterspaces are emerging as important communal spaces that support women and in their identity development in STEM. Counterspaces are community-driven, safe spaces that nurture a sense of belonging through strategies that are validating for intersectional identity development. In this paper, we review existing research about counterspaces that support women and women of colour in STEM. and use the framework of Feminine Ethics of Care to analyze these spaces. Much of the literature on counterspaces covers STEM in general, we therefore make connections to how counterspaces can be applied to ICT education in particular. We conclude the paper with recommendations for ICT education.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"15 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126682208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Oron Catts, Sarah Collins, Ionat Zurr, Elizabeth Stephens
{"title":"Neutralizing nature: Automation, agricultural technologies, and the morality of improvement","authors":"Oron Catts, Sarah Collins, Ionat Zurr, Elizabeth Stephens","doi":"10.1109/istas52410.2021.9629187","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629187","url":null,"abstract":"Agricultural technologies (AgTech) associated with new developments in vertical farming, cellular agriculture, and precision agriculture, attract substantial venture capital investment. They rely heavily on automation and the promise of total control over nature, including the seasons, microbial activity, and the vicissitudes of plant and animal growth cycles. The benefits of these technologies are often expressed in both humanitarian and ecological terms, using the seemingly neutral language of sustainability, productivity, and efficiency. In this paper, we will draw evidence from the longer history of representations of agricultural modernization to argue that the desire to ‘automate nature’ and neutralize its unruly qualities is undergirded by a particular conception of value that has its basis in the morality of improvement. This morality has held specific religious, economic, and labor associations historically, as much as it has been taken to render particular social structures natural and inevitable. Our paper will map the contemporary social and ethical implications of this finding through a series of recent cases—such as The Open Agriculture Initiative (OpenAg), a failed “open resource to enable a global community to accelerate digital agricultural innovation”; and Just Eat, a chameleon cellular agriculture start-up—to seek to undercover the link between rhetorical and technological modes of neutralization.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"38 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114495798","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Moral education and A/IS standardization: Responsible and ethical design through education","authors":"J. Schoenherr, Jeanine A. DeFalco","doi":"10.1109/istas52410.2021.9629212","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629212","url":null,"abstract":"Despite years of training in computer science, there is currently no standardized, systematic integration of ethics into the curriculum. The development and communication of ethical standards represents one means to address this issue, however, in the absence of considering how information and computer science (ICS) professionals will make sense of ethical issues within a specific context, there is a growing consensus that there will be no immediate, enforceable actions that will follow ethical violations. A curriculum is needed. We consider critical features of a curriculum based on principles of moral education and review studies that have assessed aspects of an ICS ethics curriculum.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129979610","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A Welcome Message from the Organizing Chair","authors":"","doi":"10.1109/istas52410.2021.9629165","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629165","url":null,"abstract":"","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130008893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Combating disinformation with AI: Epistemic and ethical challenges","authors":"Benjamin Lange, T. Lechterman","doi":"10.1109/istas52410.2021.9629122","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629122","url":null,"abstract":"AI-supported methods for identifying and combating disinformation are progressing in their development and application. However, these methods face a litany of epistemic and ethical challenges. These include (1) robustly defining disinformation, (2) reliably classifying data according to this definition, and (3) navigating ethical risks in the deployment of countermeasures, which involve a mixture of harms and benefits. This paper seeks to expose and offer preliminary analysis of these challenges.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"67 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130755283","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Prospective life cycle assessment as a tool for environmentally responsible innovation","authors":"Zeynab Yousefzadeh, S. Lloyd","doi":"10.1109/istas52410.2021.9629146","DOIUrl":"https://doi.org/10.1109/istas52410.2021.9629146","url":null,"abstract":"Life cycle assessment (LCA), which provides a framework for assessing the potential environmental impact of technologies across their life cycle, has been identified as a potential tool for environmentally responsible innovation (RI). Traditional LCA approaches are insufficient for RI because they tend to be retrospective and underemphasize stakeholder engagement. Recent framing studies on LCA of emerging technology, which includes prospective LCA, suggest that uncertainty, data availability, methodological challenges, applicable evaluations techniques, and type of decisions supported are related to technology and market maturity. This study evaluates this framing based on two prospective LCAs of emerging technologies conducted by the authors. Uncertainty and methodological challenges were related to technology readiness. However, data availability was a challenge regardless of technology maturity, and was best addressed by engagement with technology developers and end-users. Furthermore, questions explored and evaluation techniques used were more diverse than those reported by the framing studies and were related to both analyst and stakeholder interests and technology and market maturity. While initial framing provides important guidance towards incorporating anticipation in prospective LCA, future interactions must not overlook the importance of engaging with stakeholders to guide model development and inform environmentally responsible development and innovation.","PeriodicalId":314239,"journal":{"name":"2021 IEEE International Symposium on Technology and Society (ISTAS)","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125087937","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}