2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS)最新文献_第4页

Speech Act Theory and Ethics of Speech Processing as Distinct Stages: the ethics of collecting, contextualizing and the releasing of (speech) data 言语行为理论与不同阶段的言语处理伦理:(言语)数据的收集、语境化和发布的伦理

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ETHICS57328.2023.10154932

Jolly Thomas, Lalaram Arya, Mubarak Hussain, S. Prasanna

{"title":"Speech Act Theory and Ethics of Speech Processing as Distinct Stages: the ethics of collecting, contextualizing and the releasing of (speech) data","authors":"Jolly Thomas, Lalaram Arya, Mubarak Hussain, S. Prasanna","doi":"10.1109/ETHICS57328.2023.10154932","DOIUrl":"https://doi.org/10.1109/ETHICS57328.2023.10154932","url":null,"abstract":"Using speech act theory from the Philosophy of Language, this paper attempts to develop an ethical framework for the phenomenon of speech processing. We use the concepts of the illocutionary force and the illocutionary content of a speech act to explain the ethics of speech processing. By emphasizing the different stages involved in speech processing, we explore the distinct ethical issues that arise in relation to each stage. Input, processing, and output are the different ethically relevant stages under which a spoken item or a speech navigates within the range of speech-processing modules. Employing the illocutionary force-content distinction, we specify and characterize the input-related ethical issues, the output-related ethical issues, and the processing-related ethical issues involved in speech processing. Together with illocutionary force-content distinction, we employ the data-information distinction to characterize the stage-wise ethical issues in the phenomenon of speech processing as the ethics of collecting (speech) data, the ethics of contextualizing (speech) data/information, and the ethics of releasing the con-textualized information (processed speech). Immediate ethical issues that arise from the range of speech processing modules are distinguished from distant ethical issues. We also indicate the nature of ethical issues that arise from Speaker Independent speech technologies.","PeriodicalId":203527,"journal":{"name":"2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131895450","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}

引用次数: 0

Bridging Industry, Government, and Academia for Socially Responsible AI: The CSEAI Initiative 连接工业、政府和学术界对社会负责的人工智能:CSEAI倡议

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ethics57328.2023.10155071

Pablo Rivas, Jorge Ortiz, Daniel A. Díaz-Pachón, Laura Montoya

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Design of an Ethical Framework for Artificial Intelligence in Cultural Heritage 文化遗产人工智能伦理框架设计

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ETHICS57328.2023.10155020

S. Pansoni, S. Tiribelli, M. Paolanti, E. Frontoni, B. Giovanola

{"title":"Design of an Ethical Framework for Artificial Intelligence in Cultural Heritage","authors":"S. Pansoni, S. Tiribelli, M. Paolanti, E. Frontoni, B. Giovanola","doi":"10.1109/ETHICS57328.2023.10155020","DOIUrl":"https://doi.org/10.1109/ETHICS57328.2023.10155020","url":null,"abstract":"In recent years Artificial Intelligence (AI) has found its way into the creative and cultural industries, opening up new challenges and opportunities, poorly sufficiently explored today. However, when it comes to culture and creativity, many social and political cost factors should be taken into account. It is crucial to identify the opportunities that AI can offer in terms of the preservation, use, promotion, and accessibility of Cultural Heritage (CH). However, ethical concerns should be outlined when applying AI in cultural settings, such as for the digital replica of official UNESCO heritage sites or an unbiased explanation and interpretation of a work of art. This paper provides a first attempt to define the main ethical findings on this topic and propose it as an ethical framework to assess different risks arising from the use of AI in the CH domain. The application of this disruptive technology in the arts is evaluated through the lens of ethical principles for trustworthy AI and it explores whether the wider accessibility and improved preservation techniques enabled by AI come at some cost in terms of interpretation, social and cultural inclusion, subjectivism, or other forms of bias. The main ethical principles that emerge from the literature for the application of AI in the cultural domain are the following: Shared Responsibility, Meaningful Participation, Explainability, Accessibility, Sustainability, Reliability and Dignity. The findings underline the importance of establishing specific sectoral ethical guidelines for AI in the field of tangible and intangible CH to support and enhance its sustainable development without compromising its values, significance, sense of belonging and strong social impact.","PeriodicalId":203527,"journal":{"name":"2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS)","volume":"189 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116392233","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}

引用次数: 0

Ethical issues of community-driven blockchain systems 社区驱动的区块链系统的伦理问题

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ETHICS57328.2023.10154976

Signe Agerskov, Migle Laukyte, R. Beck

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ETHICS-2023 Session A4 - Workshop: Exploring mental models of ethics and diversity, equity, and inclusion in engineering 伦理-2023会议A4 -研讨会:探讨工程伦理与多样性、公平性和包容性的心理模型

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ethics57328.2023.10155015

Isil Anakok, Justin L Hess, Andrew Katz, Sowmya Panuganti

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ETHICS-2023 Session D2 - Panel: The role of human rights in the global helix for technology innovation and justice 伦理-2023年会议D2 -小组:人权在全球技术创新和正义螺旋中的作用

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ethics57328.2023.10154950

Michael S. Johnson, Dan Burkey, Theresa Harris, Davis Chacon-Hurtado, Anja Lanz, Kelly E. Bohrer, Molly K. Land, S. Hertel

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ETHICS-2023 Session B4 - Workshop: Critical design for responsible innovation 伦理-2023会议B4 -工作坊:负责任创新的关键设计

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ethics57328.2023.10155030

引用次数: 0

Implementing AI Ethics in the Design of AI-assisted Rescue Robots 人工智能伦理在人工智能辅助救援机器人设计中的应用

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ETHICS57328.2023.10155062

Désirée Martin, Michael W. Schmidt, R. Hillerbrand

引用次数: 0

ETHICS-2023 Session D1 - Open Forum: Building a Technology Ethics Community 伦理-2023会议D1 -开放论坛:建立科技伦理社群

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ethics57328.2023.10154968

T. Creely, M. Cheong, Heather A. Love, K. Schmitt

引用次数: 0

Ethical Biases in Machine Learning-based Filtering of Internet Communications 基于机器学习的互联网通信过滤中的伦理偏见

2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS) Pub Date : 2023-05-18 DOI: 10.1109/ETHICS57328.2023.10154975

Ludovica Ilari, Giulia Rafaiani, M. Baldi, B. Giovanola

{"title":"Ethical Biases in Machine Learning-based Filtering of Internet Communications","authors":"Ludovica Ilari, Giulia Rafaiani, M. Baldi, B. Giovanola","doi":"10.1109/ETHICS57328.2023.10154975","DOIUrl":"https://doi.org/10.1109/ETHICS57328.2023.10154975","url":null,"abstract":"The use of automated systems based on artificial intelligence and machine learning for filtering and moderating online communications has become commonplace. While this allows for high levels of efficiency and fine-grained control of malicious behaviors, it could also produce unintended disparities in treatment of legitimate users. In this paper, we aim at identifying some possible field-related biases in the wellknown Google Perspective API machine learning-based engine for controlling Internet communications. For this purpose, we consider communications in the fields of health, trade, finance, and defense and build a data set collecting Twitter-based online communications of the World Health Organization (WHO), World Trade Organization (WTO), International Monetary Fund (IMF) and North Atlantic Treaty Organization (NATO). Collected data are then analyzed through Perspective API to assign them an alleged likelihood of being abusive for specific emotional concepts, referred to as attributes. Upon analysis, discrimination between the considered users is identified for all attributes. This result, although preliminary, apparently indicates that Perspective API creates discrimination for field-related content as a result of semantic biases in the data, thus highlighting the need for an ethically sound design of these systems, following an ethics by design approach.","PeriodicalId":203527,"journal":{"name":"2023 IEEE International Symposium on Ethics in Engineering, Science, and Technology (ETHICS)","volume":"2006 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125609172","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}

引用次数: 0