Iadine Chades;Melanie McGrath;Erin Bohensky;Lucy Carter;Rebecca Coates;Ben Harwood;Md Zahidul Islam;Sevvandi Kandanaarachchi;Cheng Soon Ong;Andrew Reeson;Samantha Stone-Jovicich;Cécile Paris;Mitchell Scovell;Kirsty Wissing;David M. Douglas
{"title":"Four Compelling Reasons to Urgently Integrate AI Development With Humanities, Social and Economics Sciences","authors":"Iadine Chades;Melanie McGrath;Erin Bohensky;Lucy Carter;Rebecca Coates;Ben Harwood;Md Zahidul Islam;Sevvandi Kandanaarachchi;Cheng Soon Ong;Andrew Reeson;Samantha Stone-Jovicich;Cécile Paris;Mitchell Scovell;Kirsty Wissing;David M. Douglas","doi":"10.1109/TTS.2025.3556879","DOIUrl":"https://doi.org/10.1109/TTS.2025.3556879","url":null,"abstract":"As AI systems increasingly influence various aspects of human life, it is critical to ensure their development and deployment align with ethical standards and societal values. Our paper argues that integrating expertise from Humanities, Social, and Economic Sciences (HSES) into AI development is essential to achieving responsible AI. We present four compelling reasons to advocate for this integration: enhancing social legitimacy, ensuring meaningful impact, strengthening credibility and capability building. These reasons emerged from a collaborative effort involving 16 researchers from AI and HSES fields. Together, we explored the enablers and barriers to integrating our knowledge for the purpose of developing effective, responsible, and socially grounded AI products. We aim to inspire others to adopt an integrated approach to AI development, promoting innovations that are both technologically advanced and aligned with societal needs.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 4","pages":"453-457"},"PeriodicalIF":0.0,"publicationDate":"2025-04-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=10960694","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145814502","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}
{"title":"A Neuroscience-Informed AI Framework to Decode the Complexities of Neurofinance","authors":"Christos Bormpotsis;Michael Nanos;Asma Patel","doi":"10.1109/TTS.2025.3556355","DOIUrl":"https://doi.org/10.1109/TTS.2025.3556355","url":null,"abstract":"Financial decision-making, a cornerstone of individual prosperity and global economic stability, is hard to comprehend because it is a complex cognitive process concerned with emotional state and behavioural bias. This paper aims to decode the neural mechanisms behind financial behaviour to advance theoretical and empirical progress in neurofinance. Thus, to better capture financial behaviour, this article proposes an innovative framework that bridges neurofinance, neuroscience, and bio-inspired computational models, like the MCoRNNMCD-ANN. Key research areas include the role of neural processes driving decisions, the effect of cognitive preferences on judgment, and the potential of bio-inspired AI models to enhance understanding. The societal implications of this research seek to encourage equitable, stable and informed financial systems while addressing challenges at the intersection of neurofinance and neuroscience-informed AI.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 3","pages":"305-313"},"PeriodicalIF":0.0,"publicationDate":"2025-04-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657524","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}
Muhammad Hamza Ali;Mahbuba Afrin;Redowan Mahmud;Aneesh Krishna
{"title":"Cross-Layered Sentiment Analysis for Identifying Learner Intent in AI Chatbots","authors":"Muhammad Hamza Ali;Mahbuba Afrin;Redowan Mahmud;Aneesh Krishna","doi":"10.1109/TTS.2025.3552752","DOIUrl":"https://doi.org/10.1109/TTS.2025.3552752","url":null,"abstract":"The rapid growth of artificial intelligence (AI) and machine learning has led to the development and widespread adoption of chatbots in different applications, including education. Chatbots have the potential to facilitate personalised learning and enhance knowledge acquisition. At the same time, these AI tools have demonstrated adverse effects on the learning process and academic integrity. Hence, the primary objective of this work is to develop a novel approach to determine if a user interacting with the chatbot exhibits genuine learning intent, which is under-explored in the literature. The outcome is SentimentGPT, a sentiment analysis framework that leverages natural language processing transformers fine-tuned with emotion recognition to assess the actual learning motivation during user interactions. By discerning authentic learning mindsets from superficial engagements, SentimentGPT enables AI chatbots to deliver tailored responses without compromising educational ethics. Experimental evaluations demonstrate that our approach achieves 77.94% accuracy and an F1 score of 0.91 in identifying a learning mindset, underscoring its potential to enhance user learning experiences within accredited educational settings.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"7 1","pages":"37-46"},"PeriodicalIF":0.0,"publicationDate":"2025-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"147440636","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}
Adrian Bermudez-Villalva;Maryam Mehrnezhad;Ehsan Toreini
{"title":"Measuring Online Hate on 4chan Using Pre-Trained Deep Learning Models","authors":"Adrian Bermudez-Villalva;Maryam Mehrnezhad;Ehsan Toreini","doi":"10.1109/TTS.2025.3549931","DOIUrl":"https://doi.org/10.1109/TTS.2025.3549931","url":null,"abstract":"Online hate speech can harmfully impact individuals and groups, specifically on non-moderated platforms such as 4chan where users can post anonymous content. This work focuses on analysing and measuring the prevalence of online hate on 4chan’s politically incorrect board (/pol/) using state-of-the-art Natural Language Processing (NLP) models, specifically transformer-based models such as RoBERTa and Detoxify. By leveraging these advanced models, we provide an in-depth analysis of hate speech dynamics and quantify the extent of online hate non-moderated platforms. The study advances understanding through multi-class classification of hate speech (racism, sexism, religion, etc.), while also incorporating the classification of toxic content (e.g., identity attacks and threats) and a further topic modelling analysis. The results show that 11.20% of this dataset is identified as containing hate in different categories. These evaluations show that online hate is manifested in various forms, confirming the complicated and volatile nature of detection in the wild.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"200-209"},"PeriodicalIF":0.0,"publicationDate":"2025-03-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117419","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 Ethics of Empathetic AI in Medicine","authors":"Evan Selinger;Tom Carroll","doi":"10.1109/TTS.2025.3563812","DOIUrl":"https://doi.org/10.1109/TTS.2025.3563812","url":null,"abstract":"The expression of empathy is an important part of effective and humane medical care. Modern medicine faces a significant challenge in this area, at least in part due to the ever-increasing demands on clinicians’ time. When empathic responses to patient emotions are lacking, the quality of care suffers, including a patient’s ability to understand important information and willingness to trust their doctor. This article asks whether AI can help address this challenge. We approach the question by presenting and critically analyzing three novel scenarios that represent fundamentally different approaches, including (1) AI-powered “doctor” avatars directly interacting with patients, (2) AI editors and co-authors helping clinicians find the right words, and (3) AI simulated patients helping to provide communication training. In each case, we identify fundamental AI and medical ethics considerations, including those that warrant further consideration.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 3","pages":"276-282"},"PeriodicalIF":0.0,"publicationDate":"2025-03-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144657523","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":"Senior Editors of IEEE Transactions on Technology and Society Announcement","authors":"Katina Michael;George Roussos;Jordan Richard","doi":"10.1109/TTS.2025.3558573","DOIUrl":"https://doi.org/10.1109/TTS.2025.3558573","url":null,"abstract":"","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"115-119"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010828","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117230","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}
{"title":"IEEE Transactions on Technology and Society Publication Information","authors":"","doi":"10.1109/TTS.2025.3555363","DOIUrl":"https://doi.org/10.1109/TTS.2025.3555363","url":null,"abstract":"","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"C2-C3"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010829","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117423","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}
{"title":"Editorial: Pride and Jealousy in Academia","authors":"Paulo F. Ribeiro;Katina Michael","doi":"10.1109/TTS.2025.3553212","DOIUrl":"https://doi.org/10.1109/TTS.2025.3553212","url":null,"abstract":"","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"120-128"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010825","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117232","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}
{"title":"George Roussos and Jordan Schoenherr Appointed New EIC/Co-EIC at IEEE TTS 2026–2028","authors":"John Impagliazzo","doi":"10.1109/TTS.2025.3558350","DOIUrl":"https://doi.org/10.1109/TTS.2025.3558350","url":null,"abstract":"","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 2","pages":"113-114"},"PeriodicalIF":0.0,"publicationDate":"2025-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=11010827","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144117418","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}
Lucas Wiese;Sonali Subbu Rathinam;Matthias Oschinski;Bryan DeWitt;Daniel S. Schiff
{"title":"AI Ethics and Governance in the Job Market: Trends, Skills, and Sectoral Demand","authors":"Lucas Wiese;Sonali Subbu Rathinam;Matthias Oschinski;Bryan DeWitt;Daniel S. Schiff","doi":"10.1109/TTS.2025.3567143","DOIUrl":"https://doi.org/10.1109/TTS.2025.3567143","url":null,"abstract":"Demand for an AI-literate workforce has surged, in large part to counter a growing skills gap. Meanwhile, expertise in ethical and governance dimensions of AI is increasingly deemed crucial to handle various organizational, regulatory, and social concerns. However, the focus of AI literacy efforts to date has been primarily technical. This paper helps close this gap by providing the first large-scale analysis of AI ethics and governance skills sought by employers in the labor market. Drawing on more than four million job postings for AI-related professions over the years 2018-2023, we provide an empirically-grounded characterization of AI ethics and governance competencies and perform associated descriptive analyses. We find that professionals with AI ethics and governance competencies are requested by employers to hold diverse skill sets, covering technical, managerial, and regulatory domains, though the two professions remain distinct. Moreover, the demand for expertise in these domains has grown rapidly, both in absolute terms and as a proportion of AI-related job postings. More than 100,000 professionals with expertise in AI ethics and governance are now requested annually, with the concentration highest in the financial and information sectors. These findings can help individuals, employers, and institutions of higher education better design job requirements, educational programs, and individual learning pathways, closing the career competency gap in AI ethics and governance.","PeriodicalId":73324,"journal":{"name":"IEEE transactions on technology and society","volume":"6 4","pages":"458-470"},"PeriodicalIF":0.0,"publicationDate":"2025-03-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"145814498","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}