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AI and Ethics, Volume 4
Volume 4, Number 1, February 2024
- Bertrand Braunschweig, Stefan Buijsman, Faïcel Chamroukhi, Fredrik Heintz, Foutse Khomh, Juliette Mattioli, Maximilian Poretschkin:
AITA: AI trustworthiness assessment. 1-3 - Biplav Srivastava, Kausik Lakkaraju, Mariana Bernagozzi, Marco Valtorta:
Advances in automatically rating the trustworthiness of text processing services. 5-13 - Juliette Mattioli, Henri Sohier, Agnès Delaborde, Kahina Amokrane-Ferka, Afef Awadid, Zakaria Chihani, Souhaiel Khalfaoui, Gabriel Pedroza:
An overview of key trustworthiness attributes and KPIs for trusted ML-based systems engineering. 15-25 - Sujan Sai Gannamaneni, Michael Mock, Maram Akila:
Assessing systematic weaknesses of DNNs using counterfactuals. 27-35 - Omer Nguena Timo, Tianqi Xiao, Florent Avellaneda, Yasir Malik, Stefan D. Bruda:
Evaluating trustworthiness of decision tree learning algorithms based on equivalence checking. 37-46 - Bryan Lavender, Sami Abuhaimed, Sandip Sen:
Positive and negative explanation effects in human-agent teams. 47-56 - Christophe Gouguenheim, Ahmad Berjaoui:
Neighborhood sampling confidence metric for object detection. 57-64 - Federico Sabbatini, Roberta Calegari:
On the evaluation of the symbolic knowledge extracted from black boxes. 65-74 - Eliott Py, Elies Gherbi, Nelson Fernandez Pinto, Martin Gonzalez, Hatem Hajri:
Real-time weather monitoring and desnowification through image purification. 75-82 - Dawen Zhang, Shidong Pan, Thong Hoang, Zhenchang Xing, Mark Staples, Xiwei Xu, Lina Yao, Qinghua Lu, Liming Zhu:
To be forgotten or to be fair: unveiling fairness implications of machine unlearning methods. 83-93 - Katarzyna Kapusta, Lucas Mattioli, Boussad Addad, Mohammed Lansari:
Protecting ownership rights of ML models using watermarking in the light of adversarial attacks. 95-103 - Alessio Tartaro, Enrico Panai, Mariangela Zoe Cocchiaro
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AI risk assessment using ethical dimensions. 105-112 - Eva Thelisson, Himanshu Verma
Conformity assessment under the EU AI act general approach. 113-121 - Marc Zeller, Thomas Waschulzik, Reiner N. Schmid, Claus Bahlmann:
Toward a safe MLOps process for the continuous development and safety assurance of ML-based systems in the railway domain. 123-130 - Christian Sieberichs, Simon Geerkens, Alexander Braun, Thomas Waschulzik:
ECS: an interactive tool for data quality assurance. 131-139 - Simon Geerkens, Christian Sieberichs, Alexander Braun, Thomas Waschulzik:
QI2: an interactive tool for data quality assurance. 141-149 - Rebekka Görge
Using ScrutinAI for visual inspection of DNN performance in a medical use case. 151-156 - Léo Andéol, Thomas Fel, Florence de Grancey, Luca Mossina:
Conformal prediction for trustworthy detection of railway signals. 157-161 - Ajaya Adhikari, Steven Vethman, Daan Vos, Marc Lenz, Ioana Cocu, Ioannis Tolios, Cor J. Veenman:
Gender mobility in the labor market with skills-based matching models. 163-167
Volume 4, Number 2, May 2024
- Esther Keymolen
Trustworthy tech companies: talking the talk or walking the walk? 169-177 - Tricia A. Griffin
The ethical agency of AI developers. 179-188 - Ghanim Al-Sulaiti
A pragmatic perspective on AI transparency at workplace. 189-200 - Jan-Christoph Heilinger
Beware of sustainable AI! Uses and abuses of a worthy goal. 201-212 - Ali Ladak
What would qualify an artificial intelligence for moral standing? 213-228 - Edward Hunter Christie, Amy Ertan
Regulating lethal autonomous weapon systems: exploring the challenges of explainability and traceability. 229-245 - Maria do Rosário Pinto-Alves:
Dermatological diagnostic-assistive technologies: a call for regulatory action. 247-255 - Orlando Gomes
I, Robot: the three laws of robotics and the ethics of the peopleless economy. 257-272 - Erez Firt:
Ought we align the values of artificial moral agents? 273-282 - Erez Firt:
Correction: Ought we align the values of artificial moral agents? 283 - Ziagul Hosseini
Assessing the artificially intelligent workplace: an ethical framework for evaluating experimental technologies in workplace settings. 285-297 - Avinash Agarwal
A seven-layer model with checklists for standardising fairness assessment throughout the AI lifecycle. 299-314 - Simon Friederich
Symbiosis, not alignment, as the goal for liberal democracies in the transition to artificial general intelligence. 315-324 - Arunima Chakraborty
Can artificial intelligence be a Kantian moral agent? On moral autonomy of AI system. 325-331 - Haleh Asgarinia
Convergence of the source control and actual access accounts of privacy. 333-343 - Kjell Jørgen Hole
Tools with general AI and no existential risk. 345-352 - Rosalie A. Waelen
The ethics of computer vision: an overview in terms of power. 353-362 - Sebastian Knell, Markus Rüther
Artificial intelligence, superefficiency and the end of work: a humanistic perspective on meaning in life. 363-373 - Alessandra Cenci
The participatory value-sensitive design (VSD) of a mHealth app targeting citizens with dementia in a Danish municipality. 375-401 - David B. Resnik
A precautionary approach to autonomous vehicles. 403-418 - Christoph Bartneck
Personality and demographic correlates of support for regulating artificial intelligence. 419-426 - Thomas Grote
Fairness as adequacy: a sociotechnical view on model evaluation in machine learning. 427-440 - Tina Nguyen
Merging public health and automated approaches to address online hate speech. 441-450 - Koki Arai
Public perceptions of autonomous lethal weapons systems. 451-462 - Brian Hutler
Designing robots that do no harm: understanding the challenges of Ethics for Robots. 463-471 - Suzanne Tolmeijer
Trolleys, crashes, and perception - a survey on how current autonomous vehicles debates invoke problematic expectations. 473-484 - Simon Courtenage
Intelligent machines, collectives, and moral responsibility. 485-498 - Haleh Asgarinia
Publisher Correction: Convergence of the source control and actual access accounts of privacy. 499 - Dennis Schuessler
The probability problems of the Moral Machine Experiment. 501-510 - Johannes Thumfart
The democratic offset: Contestation, deliberation, and participation regarding military applications of AI. 511-526 - Johannes Thumfart
Correction: The democratic offset: Contestation, deliberation, and participation regarding military applications of AI. 527 - Thomas Søbirk Petersen
Need for speed? Why vehicles capable of driving faster than legal speed limits should be banned. 529-536 - Sergio Genovesi
Standardizing fairness-evaluation procedures: interdisciplinary insights on machine learning algorithms in creditworthiness assessments for small personal loans. 537-553 - Katharina Simbeck
They shall be fair, transparent, and robust: auditing learning analytics systems. 555-571 - Katharina Simbeck
Publisher Correction: They shall be fair, transparent, and robust: auditing learning analytics systems. 573 - Guido Löhr
If conceptual engineering is a new method in the ethics of AI, what method is it exactly? 575-585 - Ewa Milczarek
Artificial intelligence's right to life. 587-592 - Zoë Porter
A principles-based ethics assurance argument pattern for AI and autonomous systems. 593-616 - Marc Jungtäubl, Christopher Zirnig
HCI driving alienation: autonomy and involvement as blind spots in digital ethics. 617-634 - Yoshija Walter
The rapid competitive economy of machine learning development: a discussion on the social risks and benefits. 635-648
Volume 4, Number 3, August 2024
- Tania Duarte, Nicholas Barrow
Editorial: The ethical implications of AI hype. 649-651 - Kevin LaGrandeur
The consequences of AI hype. 653-656 - Harry Law
Computer vision: AI imaginaries and the Massachusetts Institute of Technology. 657-663 - Peter Smith
This season's artificial intelligence (AI): is today's AI really that different from the AI of the past? Some reflections and thoughts. 665-668 - Mona Sloane
Tackling AI Hyping. 669-677 - Jennifer Chubb
Establishing counterpoints in the sonic framing of AI narratives. 679-690 - Adriana Placani
Anthropomorphism in AI: hype and fallacy. 691-698 - Gina Helfrich
The harms of terminology: why we should reject so-called "frontier AI". 699-705 - Nicholas Barrow
Anthropomorphism and AI hype. 707-711 - Salla Westerstrand
Talking existential risk into being: a Habermasian critical discourse perspective to AI hype. 713-726 - Alva Markelius
The mechanisms of AI hype and its planetary and social costs. 727-742 - Dominik Vrabic Dezman
Promising the future, encoding the past: AI hype and public media imagery. 743-756 - Clea D. Bourne:
AI hype, promotional culture, and affective capitalism. 757-769 - Dawn McAra-Hunter
How AI hype impacts the LGBTQ + community. 771-790 - Declan Humphreys
AI hype as a cyber security risk: the moral responsibility of implementing generative AI in business. 791-804 - Nathan Gabriel Wood
Regulating autonomous and AI-enabled weapon systems: the dangers of hype. 805-817 - Elena Falletti
Surfing reality, hype, and propaganda: an empirical comparative analysis on predictive software in criminal justice. 819-831 - Michael Strange
Three different types of AI hype in healthcare. 833-840 - Eleonora Lima
AI art and public literacy: the miseducation of Ai-Da the robot. 841-854 - Frédéric Gilbert, Ingrid Russo:
Mind-reading in AI and neurotechnology: evaluating claims, hype, and ethical implications for neurorights. 855-872
Volume 4, Number 4, November 2024
- Didar Zowghi, Muneera Bano:
AI for all: Diversity and Inclusion in AI. 873-876 - Hongwei Sheng, Xin Shen, Heming Du, Hu Zhang, Zi Huang, Xin Yu
AI empowered Auslan learning for parents of deaf children and children of deaf adults. 877-887 - J. Rosenbaum
Gender Tapestry: gender classification as color assignation. 889-900 - Sarah V. Bentley
The digital divide in action: how experiences of digital technology shape future relationships with artificial intelligence. 901-915 - Zarrin Tasnim Sworna
The ethical implications of Chatbot developments for conservation expertise. 917-926 - Amelia Katirai
Ethical considerations in emotion recognition technologies: a review of the literature. 927-948 - Malak Sadek
Designing value-sensitive AI: a critical review and recommendations for socio-technical design processes. 949-967 - Ryan Watkins
Guidance for researchers and peer-reviewers on the ethical use of Large Language Models (LLMs) in scientific research workflows. 969-974 - Marie Oldfield
Technical challenges and perception: does AI have a PR issue? 975-995 - Tobias Flattery
The Kant-inspired indirect argument for non-sentient robot rights. 997-1011 - Mahdi Khalili
Against the opacity, and for a qualitative understanding, of artificially intelligent technologies. 1013-1021 - Frej Klem Thomsen
Algorithmic indirect discrimination, fairness and harm. 1023-1037 - Jessica M. Rudd
A global perspective on data powering responsible AI solutions in health applications. 1039-1049 - Jeroen K. G. Hopster
The technology triad: disruptive AI, regulatory gaps and value change. 1051-1069 - Jorge Luis Morton Gutiérrez
On actor-network theory and algorithms: ChatGPT and the new power relationships in the age of AI. 1071-1084 - Jakob Mökander
Auditing large language models: a three-layered approach. 1085-1115 - Saleh Afroogh, Ali Mostafavi, Ali Akbari, Yasser Pouresmaeil, Sajedeh Goudarzi, Faegheh Hajhosseini, Kambiz Rasoulkhani:
Embedded Ethics for Responsible Artificial Intelligence Systems (EE-RAIS) in disaster management: a conceptual model and its deployment. 1117-1141 - Nishita Agrawal, Isha Pendharkar, Jugal Shroff, Jatin Raghuvanshi, Akashdip Neogi, Shruti Patil, Rahee Walambe
A-XAI: adversarial machine learning for trustable explainability. 1143-1174 - Aníbal Monasterio Astobiza
Do people believe that machines have minds and free will? Empirical evidence on mind perception and autonomy in machines. 1175-1183 - Antoine Bujold
Responsible artificial intelligence in human resources management: a review of the empirical literature. 1185-1200 - Joseph L. Breeden
Scoring AI-generated policy recommendations with Risk-Adjusted Gain in Net Present Happiness. 1201-1211 - Jeremy Lopez, Claire Textor, Caitlin Lancaster
The complex relationship of AI ethics and trust in human-AI teaming: insights from advanced real-world subject matter experts. 1213-1233 - Mois Navon
Let us make man in our image-a Jewish ethical perspective on creating conscious robots. 1235-1250 - Larissa Schlicht, Miriam Räker:
A context-specific analysis of ethical principles relevant for AI-assisted decision-making in health care. 1251-1263 - Philip Brey
Ethics by design for artificial intelligence. 1265-1277 - John Ratzan
Measuring responsible artificial intelligence (RAI) in banking: a valid and reliable instrument. 1279-1297 - Alesia Zhuk
Navigating the legal landscape of AI copyright: a comparative analysis of EU, US, and Chinese approaches. 1299-1306 - Alesia Zhuk
Correction: Navigating the legal landscape of AI copyright: a comparative analysis of EU, US, and Chinese approaches. 1307 - Yong Suk Lee
Optimizing whose engagement? Beliefs and protest participation of social media users in South Korea. 1309-1321 - Stefan Buijsman
Navigating fairness measures and trade-offs. 1323-1334 - Konstantinos Konstantis
Ethical considerations in working with ChatGPT on a questionnaire about the future of work with ChatGPT. 1335-1344 - Sophia Falk
Challenging AI for Sustainability: what ought it mean? 1345-1355 - John W. Murphy
To democratize or not to democratize AI? That is the question. 1357-1363 - Erwan Le Merrer
Algorithmic audits of algorithms, and the law. 1365-1375 - Scott Robbins
The many meanings of meaningful human control. 1377-1388 - Yu-Chen Cheng, Po-An Chen, Feng-Chi Chen, Ya-Wen Cheng:
Adversarial learning with optimism for bias reduction in machine learning. 1389-1402 - Daniela Vacek
Two remarks on the new AI control problem. 1403-1408 - Nitika Bhalla
Ensuring a 'Responsible' AI future in India: RRI as an approach for identifying the ethical challenges from an Indian perspective. 1409-1422 - Fred S. Roberts
Socially responsible facial recognition of animals. 1423-1439 - Jenna L. A. Donohue
Click-Gap, paternalism, and tech giants' relationships with their users. 1441-1452 - Dafna Burema
Elusive technologies, elusive responsibilities: on the perceived responsibility of basic AI researchers. 1453-1466 - Neil O'Hara
Primary recognition, morality and AI. 1467-1472 - Kareem Othman
Understanding how moral decisions are affected by accidents of autonomous vehicles, prior knowledge, and perspective-taking: a continental analysis of a global survey. 1473-1490 - Kareem Othman
Correction to: Understanding how moral decisions are affected by accidents of autonomous vehicles, prior knowledge, and perspective-taking: a continental analysis of a global survey. 1491 - Martin Peterson
How to measure value alignment in AI. 1493-1506 - Rand Hirmiz
Against the substitutive approach to AI in healthcare. 1507-1518 - Rungpailin Songja, Iyakup Promboot, Bhavaris Haetanurak, Chutisant Kerdvibulvech
Deepfake AI images: should deepfakes be banned in Thailand? 1519-1531 - Geoff Keeling
Algorithmic bias, generalist models, and clinical medicine. 1533-1544 - Morten Bay
Participation, prediction, and publicity: avoiding the pitfalls of applying Rawlsian ethics to AI. 1545-1554 - Anne Zimmerman
Human/AI relationships: challenges, downsides, and impacts on human/human relationships. 1555-1567 - Donatella Casaburo
Ensuring fundamental rights compliance and trustworthiness of law enforcement AI systems: the ALIGNER Fundamental Rights Impact Assessment. 1569-1582 - Christian Sieberichs, Simon Geerkens, Alexander Braun, Thomas Waschulzik:
Correction: ECS: an interactive tool for data quality assurance. 1583 - Clea Bourne:
Author Correction: AI hype, promotional culture, and affective capitalism. 1585 - Simon Geerkens, Christian Sieberichs, Alexander Braun, Thomas Waschulzik:
Correction: QI2: an interactive tool for data quality assurance. 1587
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