Pub Date : 2024-06-05DOI: 10.1007/s43681-024-00482-x
Clayton Peterson
{"title":"Automated ethical decision, value-ladenness, and the moral prior problem","authors":"Clayton Peterson","doi":"10.1007/s43681-024-00482-x","DOIUrl":"https://doi.org/10.1007/s43681-024-00482-x","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"17 8","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141382904","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}
Pub Date : 2024-06-05DOI: 10.1007/s43681-024-00500-y
S. K. Kuilman, L. C. Siebert, Stefan Buijsman, C. Jonker
{"title":"How to gain control and influence algorithms: contesting AI to find relevant reasons","authors":"S. K. Kuilman, L. C. Siebert, Stefan Buijsman, C. Jonker","doi":"10.1007/s43681-024-00500-y","DOIUrl":"https://doi.org/10.1007/s43681-024-00500-y","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"292 10","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-06-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141386322","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}
Pub Date : 2024-05-02DOI: 10.1007/s43681-024-00486-7
Ms. Kritika
The booming landscape of multidisciplinary studies, namely, neuroscience, ethics and cyber security brings into focus the emerging need of developing ethical standards for neural data to the implemented safely in the domain of cyberspace. The synergy between neuroscience and cybersecurity emphasizes the transformative potential of technologies like BCI, EEG, FMRI, MEG etc. highlighting the ethical imperative to bring to light the issues of privacy, autonomy, individual’s right, and security of their neural data. The paper delves into the question of delicacy of neuro data as an emerging concern for cyber professionals as well as individuals to safeguard from the emerging threats of phishing, brain jacking, vishing and implementing proper guidelines and framework to have informed consent before going ahead with their confidential data which can otherwise be misused at the hands of cybercriminals.
{"title":"A comprehensive study on navigating neuroethics in Cyberspace","authors":"Ms. Kritika","doi":"10.1007/s43681-024-00486-7","DOIUrl":"10.1007/s43681-024-00486-7","url":null,"abstract":"<div><p>The booming landscape of multidisciplinary studies, namely, neuroscience, ethics and cyber security brings into focus the emerging need of developing ethical standards for neural data to the implemented safely in the domain of cyberspace. The synergy between neuroscience and cybersecurity emphasizes the transformative potential of technologies like BCI, EEG, FMRI, MEG etc. highlighting the ethical imperative to bring to light the issues of privacy, autonomy, individual’s right, and security of their neural data. The paper delves into the question of delicacy of neuro data as an emerging concern for cyber professionals as well as individuals to safeguard from the emerging threats of phishing, brain jacking, vishing and implementing proper guidelines and framework to have informed consent before going ahead with their confidential data which can otherwise be misused at the hands of cybercriminals.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 1","pages":"93 - 100"},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141019011","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}
Pub Date : 2024-05-02DOI: 10.1007/s43681-024-00485-8
Didar Zowghi, Muneera Bano
{"title":"AI for all: Diversity and Inclusion in AI","authors":"Didar Zowghi, Muneera Bano","doi":"10.1007/s43681-024-00485-8","DOIUrl":"10.1007/s43681-024-00485-8","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"4 4","pages":"873 - 876"},"PeriodicalIF":0.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141021870","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}
Pub Date : 2024-04-04DOI: 10.1007/s43681-024-00462-1
Hossein Dabbagh, Brian D. Earp, Sebastian Porsdam Mann, Monika Plozza, Sabine Salloch, Julian Savulescu
As society increasingly integrates artificial intelligence (AI) into its fabric, AI ethics education in primary schools becomes necessary. Drawing parallels between the integration of foundational subjects such as languages and mathematics and the pressing need for AI literacy, we argue for mandatory, age-appropriate AI education focusing on technical proficiency and ethical implications. Analogous to how sex and drug education prepare youth for real-world challenges and decisions, AI education is crucial for equipping students to navigate an AI-driven future responsibly. Our study delineates the ethical pillars, such as data privacy and unbiased algorithms, essential for students to grasp, and presents a framework for AI literacy integration in elementary schools. What is needed is a comprehensive, dynamic, and evidence-based approach to AI education, to prepare students for an AI-driven future.
{"title":"AI ethics should be mandatory for schoolchildren","authors":"Hossein Dabbagh, Brian D. Earp, Sebastian Porsdam Mann, Monika Plozza, Sabine Salloch, Julian Savulescu","doi":"10.1007/s43681-024-00462-1","DOIUrl":"10.1007/s43681-024-00462-1","url":null,"abstract":"<div><p>As society increasingly integrates artificial intelligence (AI) into its fabric, AI ethics education in primary schools becomes necessary. Drawing parallels between the integration of foundational subjects such as languages and mathematics and the pressing need for AI literacy, we argue for mandatory, age-appropriate AI education focusing on technical proficiency and ethical implications. Analogous to how sex and drug education prepare youth for real-world challenges and decisions, AI education is crucial for equipping students to navigate an AI-driven future responsibly. Our study delineates the ethical pillars, such as data privacy and unbiased algorithms, essential for students to grasp, and presents a framework for AI literacy integration in elementary schools. What is needed is a comprehensive, dynamic, and evidence-based approach to AI education, to prepare students for an AI-driven future.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"5 1","pages":"87 - 92"},"PeriodicalIF":0.0,"publicationDate":"2024-04-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://link.springer.com/content/pdf/10.1007/s43681-024-00462-1.pdf","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140741768","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-02DOI: 10.1007/s43681-024-00418-5
Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri
Object detection and tracking are essential for reliable decision-making in modern applications, such as self-driving cars, drones, and industry. Adverse weather can hinder object detectability and pose a threat to the reliability of these systems. As a result, there is an increasing need for efficient image denoising and restoration techniques. In this study, we investigate the use of image purification as a means of defending against weather corruptions. Specifically, we focus on the effect of snow on an object detector and the benefits of efficient desnowification. We find that the performance of a strong image purifying baseline (PreNet) is not constant across different levels of snow intensity, leading to a reduced overall performance in diverse situations. Through extensive experimentation, we demonstrate that adding a lightweight snow detector significantly improves the overall object detection performance without needing to modify the purification model. Our proposed weather-robust architecture exhibits a 40% performance improvement compared to a strong image purification baseline on the gas cylinder counting task. In addition, it leads to significant reductions of the computational power required to run the purification pipeline with a minimal added cost.
{"title":"Real-time weather monitoring and desnowification through image purification","authors":"Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri","doi":"10.1007/s43681-024-00418-5","DOIUrl":"10.1007/s43681-024-00418-5","url":null,"abstract":"<div><p>Object detection and tracking are essential for reliable decision-making in modern applications, such as self-driving cars, drones, and industry. Adverse weather can hinder object detectability and pose a threat to the reliability of these systems. As a result, there is an increasing need for efficient image denoising and restoration techniques. In this study, we investigate the use of image purification as a means of defending against weather corruptions. Specifically, we focus on the effect of snow on an object detector and the benefits of efficient desnowification. We find that the performance of a strong image purifying baseline (PreNet) is not constant across different levels of snow intensity, leading to a reduced overall performance in diverse situations. Through extensive experimentation, we demonstrate that adding a lightweight snow detector significantly improves the overall object detection performance without needing to modify the purification model. Our proposed weather-robust architecture exhibits a 40% performance improvement compared to a strong image purification baseline on the gas cylinder counting task. In addition, it leads to significant reductions of the computational power required to run the purification pipeline with a minimal added cost.</p></div>","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"4 1","pages":"75 - 82"},"PeriodicalIF":0.0,"publicationDate":"2024-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140751256","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}
Pub Date : 2024-03-28DOI: 10.1007/s43681-024-00449-y
Isabel Richards
{"title":"‘Hypernudging’: a threat to moral autonomy?","authors":"Isabel Richards","doi":"10.1007/s43681-024-00449-y","DOIUrl":"https://doi.org/10.1007/s43681-024-00449-y","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"56 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140368629","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}
Pub Date : 2024-03-27DOI: 10.1007/s43681-024-00446-1
G. Papyshev
{"title":"Governing AI through interaction: situated actions as an informal mechanism for AI regulation","authors":"G. Papyshev","doi":"10.1007/s43681-024-00446-1","DOIUrl":"https://doi.org/10.1007/s43681-024-00446-1","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":"92 21","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140377641","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}
Pub Date : 2024-03-25DOI: 10.1007/s43681-024-00454-1
Nicholas Barrow
{"title":"Anthropomorphism and AI hype","authors":"Nicholas Barrow","doi":"10.1007/s43681-024-00454-1","DOIUrl":"https://doi.org/10.1007/s43681-024-00454-1","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":" 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140382392","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}
Pub Date : 2024-03-25DOI: 10.1007/s43681-024-00453-2
S. Luitel, Yang Liu, Mohd Anwar
{"title":"Investigating fairness in machine learning-based audio sentiment analysis","authors":"S. Luitel, Yang Liu, Mohd Anwar","doi":"10.1007/s43681-024-00453-2","DOIUrl":"https://doi.org/10.1007/s43681-024-00453-2","url":null,"abstract":"","PeriodicalId":72137,"journal":{"name":"AI and ethics","volume":" April","pages":""},"PeriodicalIF":0.0,"publicationDate":"2024-03-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140383359","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}