{"title":"Incorporating Social and Environmental Ethics into the Design and Operation of Energy Systems: A Pedagogical Perspective","authors":"S. Mohagheghi","doi":"10.1109/istas48451.2019.8937986","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937986","url":null,"abstract":"The way an energy system is designed and operated has a direct impact on the environment (during normal operation) and the society (mostly during major disturbances and blackouts). Electrical engineering students in general learn about the environmental concerns associated with various power generation technologies as well as the importance of the availability of power for the society. However, these topics are typically not discussed in sufficient detail to teach the students about the delicate interrelation between energy, environment and the society. Most assignments, class activities or course projects focus on engineering excellence and cost efficiency. What seems to be missing is having the students exposed to realistic operation and design scenarios that present one or more ethical dilemmas. It is only then that the students learn to make environmentally and socially aware decisions and view the problem beyond engineering principles alone. This paper presents a pedagogical perspective on developing educational modules and active learning exercises centered on social and environmental ethics, suitable for graduate and undergraduate courses that focus on the design and operation of energy systems.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"111 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"117236345","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 Framework to Deal with Privacy in Systems","authors":"M. Simonette, Mario Magalhães, Edison Spina","doi":"10.1109/istas48451.2019.8937995","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937995","url":null,"abstract":"Privacy is a crucial issue to be discussed, defined, and specified in any system. There is a lack of resources offering a decision-making context that enables identification of the perceived situation according to users' data contained by the systems. All the available data should be understandable for all stakeholders; many of them have no technical background. This paper proposes a framework based on a traditional psychological tool and discusses its application to a real case to evaluate its practical application. It recognizes that there are four privacy domains to improve how systems stakeholders explore, perceive, and understand privacy situations, supporting decisions about access to personal data. The perceived situation has multiple views, according to who accesses and uses other people's personal data, and according to the person who provides the data, even if this person has explicitly granted access to them. There are different purposes and values involved, which demands a clear and deliberate approach.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"80 4","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120824874","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":"Government AI Readiness Meta-Analysis for Latin America And The Caribbean","authors":"Laura Montoya, Pablo Rivas","doi":"10.1109/istas48451.2019.8937869","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937869","url":null,"abstract":"Artificial intelligence (AI)-based technology has the potential of transforming how governments function, making them better able to serve, protect, and improve the quality of life of their constituents. As governments of developing countries continue to shift to more advanced digital platforms, they have adopted practices and policies that have a direct impact on the future of AI-based technology. This research aims to discuss factors that may have a direct impact on the AI preparedness of Latin America and the Caribbean (LAC) countries. It evaluates a recent ranking developed by the international development research center (IDRC) focused on indicators towards the development or use of AI technology in governance, infrastructure, technological skills, and public services against each country's economic metrics including unemployment rate, gross domestic product per capita purchasing power parity (GDP-PPP), cost to hire an AI researcher, and countrywide education levels. It also reviews metrics and factors outside of economics which have a direct impact on AI readiness and its effects on each country's citizens, including automation potential and data privacy policies. This research discusses current issues with existing evaluation criteria for AI readiness and expands factors and considerations essential to LAC countries as they embrace the AI revolution.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"47 2","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120922969","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":"Machine Translation of English Videos to Indian Regional Languages using Open Innovation","authors":"Srikar Kashyap Pulipaka, Chaitanya Krishna Kasaraneni, Venkata Naga Sandeep Vemulapalli, Surya Sai Mourya Kosaraju","doi":"10.1109/istas48451.2019.8937988","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937988","url":null,"abstract":"In spite of many languages being spoken in India, it is difficult for the people to understand foreign languages like English, Spanish, Italian, etc. The recognition and synthesis of speech are prominent emerging technologies in natural language processing and communication domains. This paper aims to leverage the open source applications of these technologies, machine translation, text-to-speech system (TTS), and speech-to-text system (STT) to convert available online resources to Indian languages. This application takes an English language video as an input and separates the audio from video. It then divides the audio file into several smaller chunks based on the timestamps. These audio chunks are then individually converted into text using IBM Watson's speech-to-text (STT) module. The obtained text chunks are then concatenated and passed to Google's machine translate API for conversion to the requested Indian language. After this translation, a TTS system is required to convert the text into the desired audio output. Not many open source TTS systems are available for Indian regional languages. One such available application is the flite engine (a lighter version of Festival engine developed by Prof. Alan Black at Carnegie Mellon University (CMU)). This flite engine is used as TTS for generating audio from translated text. The accuracy of the application developed can be as high as 91 percent for a single video and averages about 79 percent. This accuracy is verified by comparing naturality of the audio with the general spoken language. This application is beneficial to visually impaired people as well as individuals who are not capable of reading text to acquire knowledge in their native language. In future, this application aims to achieve ubiquitous communication enabling people of different regions to communicate with each other breaking the language barriers.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"301 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116163652","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}
T. Lux, Stefan Nagy, Mohammed Almanaa, Sirui Yao, Reid Bixler
{"title":"A Case Study on a Sustainable Framework for Ethically Aware Predictive Modeling","authors":"T. Lux, Stefan Nagy, Mohammed Almanaa, Sirui Yao, Reid Bixler","doi":"10.1109/istas48451.2019.8937885","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937885","url":null,"abstract":"Large volumes of data allow for modern application of statistical and mathematical models to practical social issues. Many applications of predictive models like criminal activity heat mapping, recidivism estimation, and child safety scoring rely on data that may be incomplete, incorrect, or biased. Many sensitive social and historical issues can unintentionally be incorporated into predictions causing ethical mistreatment. This work proposes a mechanism for continuously mitigating model bias by using algorithms that produce predictions from reasonably small subsets of data, allowing a human-in-the-loop approach to model application. The benefits offered by this framework are twofold: (1) bias can be identified either statistically or by human users on a per-prediction basis; (2) data can be cleaned for bias on a per-prediction basis. A modeling and data management methodology similar to that presented here could strengthen the ethical application of data science and make the process of cleaning and validating data manageable in the long term.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"63 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130799009","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":"Ethics and Artificial General Intelligence: Technological Prediction as a Groundwork for Guidelines","authors":"Charles J. Simon","doi":"10.1109/istas48451.2019.8937913","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937913","url":null,"abstract":"Artificial General Intelligence (AGI) is the possible future of computer systems which are as capable as humans across a broad range of intellectual requirements. In order to establish an ethical position or guidelines for the development of AGI, it is important to explore anticipated characteristics about the emergence of AGI: How sudden it could be (jolt), how soon it could be (timing), and how dangerous it could be (risk). By extrapolating today's trends in development and limitations of current AI algorithms, informed speculation can help set ethical positions and guidelines on the proper course. This paper concludes that the emergence of AGI will be gradual, soon, and only moderately dangerous and begins to address how ethical issues will change as AGI emerges from narrow AI.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134210806","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":"Cyber Influence of Human Behavior: Personal and National Security, Privacy, and Fraud Awareness to Prevent Harm","authors":"M. C. Michel, Michael C. King","doi":"10.1109/istas48451.2019.8938009","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8938009","url":null,"abstract":"The Internet and connected technology platforms have enabled an increase of cyber influence activity. These actions target a range of personal to national level security and privacy attributes related to cybercrime, behavior, and identities. These emerging threats call for new indicators for improved awareness, decisions, and action. This research proposes a cyber-physical-human spectrum of identification with a prototyped classification method. Classifier goals are to aid in awareness of activity and potential harmful intent such as detection of identity feature acquisition, fraudulent identities and entities, and targeting or influential behavior. Emerging malicious influence actors prey on human social demographic groups and trends using the Internet infrastructure with social network platform access to large target populations as their attack surface. The methodology discusses how this problem could benefit from a combined human-technical approach to understand indicators of influencing human perception that persuade someone perform a desired action. This method is designed to aid in rapid influence awareness and introduce a counter-influence concept. A prototyped experiment trial demonstrates how awareness may be beneficial to balancing national security with personal privacy.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133864941","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":"Incorporating Societal (Social) and Ethical Implications into the Design, Development, and Deployment of Technologies","authors":"B. Leech, Marta Janczarski","doi":"10.1109/istas48451.2019.8937964","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937964","url":null,"abstract":"Technologies can have significant ethical and societal impacts. Unfortunately, it has been common for engineers and developers to overlook these concerns as being beyond the scope of their technical responsibilities. Autonomous and Intelligent Systems are making it more difficult to ignore these issues. However, it can be challenging to know where to begin when trying to incorporate societal and ethical concerns into the design, development, demonstration, and deployment of a technology, process, algorithm, or application. The purpose of this paper is to outline a process that can be used to ensure the consideration of ethical and societal impacts during the development process.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116165662","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":"The Future of Online Advertising: Thoughts on Emerging Issues in Privacy, Information Bubbles, and Disinformation","authors":"B. Kitts, Nathan McCoy, M. Berg","doi":"10.1109/istas48451.2019.8937870","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937870","url":null,"abstract":"Online advertising has exceeded television, to became the largest revenue advertising category in the United States [146], [147]. Some of the reasons for this success are online advertising's unique capabilities for measurement and personalized ad delivery. However, this success also presents new challenges for society. The same technology used for selling products can be employed as a tool for mass persuasion. This paper examines three aspects of this problem: data privacy, information bubbles, and false information. The paper offers some thoughts on addressing each problem.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"4 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128638390","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":"Predicting the Likelihood that the United States will Implement Solar Radiation Management through an Analysis of Responses to Historical Crises","authors":"Timothy C. Leech, B. Leech","doi":"10.1109/istas48451.2019.8937907","DOIUrl":"https://doi.org/10.1109/istas48451.2019.8937907","url":null,"abstract":"Given the lack of progress on effective policies to reduce greenhouse gas emissions, as well as the accumulating evidence that the earth is already experiencing the adverse effects of anthropogenic climate change, geoengineering has entered popular and technical discourses as a potential solution. As policy-makers, economists, scientists, engineers, and environmentalists consider various aspects of geoengineering, one of the questions that remains unanswered is how likely is it that humanity will engage in intentional actions to modify the global climate? This paper employs historical analysis to investigate the likelihood that American policy-makers will adopt solar radiation management techniques in order to control the global climate. Historical patterns of crisis response strongly suggest that policy-makers will follow similar decision-making patterns in the future.","PeriodicalId":201396,"journal":{"name":"2019 IEEE International Symposium on Technology and Society (ISTAS)","volume":"248 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134129002","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}