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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:
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, Elena Haedecke, Michael Mock:
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, Brian Patrick Green, Jos V. M. Welie:
The ethical agency of AI developers. 179-188 - Ghanim Al-Sulaiti, Mohammad Amin Sadeghi, Lokendra Chauhan, Ji Lucas, Sanjay Chawla, Ahmed K. Elmagarmid:
A pragmatic perspective on AI transparency at workplace. 189-200 - Jan-Christoph Heilinger, Hendrik Kempt, Saskia K. Nagel:
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, Laurynas Adomaitis, Matthias Klaus:
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, Sven Nyholm, Pascale M. Le Blanc, Paul T. Y. Preenen, Evangelia Demerouti:
Assessing the artificially intelligent workplace: an ethical framework for evaluating experimental technologies in workplace settings. 285-297 - Avinash Agarwal, Harsh 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, Nisigandha Bhuyan:
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, Susanne Jakobsen Ilskov, Nicklas Sindlev Andersen, Marco Chiarandini:
The participatory value-sensitive design (VSD) of a mHealth app targeting citizens with dementia in a Danish municipality. 375-401 - David B. Resnik, Suzanne L. Andrews:
A precautionary approach to autonomous vehicles. 403-418 - Christoph Bartneck, Kumar Yogeeswaran, Chris G. Sibley:
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, Masakazu Matsumoto:
Public perceptions of autonomous lethal weapons systems. 451-462 - Brian Hutler, Travis N. Rieder, Debra J. H. Mathews, David A. Handelman, Ariel M. Greenberg:
Designing robots that do no harm: understanding the challenges of Ethics for Robots. 463-471 - Suzanne Tolmeijer, Vicky Arpatzoglou, Luca Rossetto, Abraham Bernstein:
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, Kasper Lippert-Rasmussen:
Need for speed? Why vehicles capable of driving faster than legal speed limits should be banned. 529-536 - Sergio Genovesi, Julia Maria Mönig, Anna Schmitz, Maximilian Poretschkin, Maram Akila, Manoj Kahdan, Romina Kleiner, Lena Krieger, Alexander Zimmermann:
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, Ibrahim Habli, John A. McDermid, Marten H. L. Kaas:
A principles-based ethics assurance argument pattern for AI and autonomous systems. 593-616 - Marc Jungtäubl, Christopher Zirnig, Caroline Ruiner:
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
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