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ORCIDAI and Ethics, Volume 3
Volume 3, Number 1, February 2023
- Alycia N. Carey
, Xintao Wu:
The statistical fairness field guide: perspectives from social and formal sciences. 1-23 - Stefanie Meyer, Sarah Mandl, Dagmar Gesmann-Nuissl, Anja Strobel:
Responsibility in Hybrid Societies: concepts and terms. 25-48 - Ryan Watkins, Soheil Human:
Needs-aware artificial intelligence: AI that 'serves [human] needs'. 49-52 - Anastasia Chan:
GPT-3 and InstructGPT: technological dystopianism, utopianism, and "Contextual" perspectives in AI ethics and industry. 53-64 - Danilo Bruschi, Nicla Diomede:
A framework for assessing AI ethics with applications to cybersecurity. 65-72 - Christopher Burr, David Leslie:
Ethical assurance: a practical approach to the responsible design, development, and deployment of data-driven technologies. 73-98 - Mario D. Schultz, Peter Seele:
Towards AI ethics' institutionalization: knowledge bridges from business ethics to advance organizational AI ethics. 99-111 - Åsbjørn Melkevik:
The internal morality of markets and artificial intelligence. 113-122 - João Figueiredo Nobre Brito Cortese, Fábio Gagliardi Cozman, Marcos Paulo Lucca-Silveira, Adriano Figueiredo Bechara:
Should explainability be a fifth ethical principle in AI ethics? 123-134 - Martin Gibert:
The case for virtuous robots. 135-144 - Caitlin Curtis, Nicole M. Gillespie, Steven Lockey:
AI-deploying organizations are key to addressing 'perfect storm' of AI risks. 145-153 - Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg:
Risk as a driver for AI framework development on manufacturing. 155-174 - Eduardo Vyhmeister, Gabriel González-Castañé, Per-Olov Östberg, Simon Thevenin:
A responsible AI framework: pipeline contextualisation. 175-197 - Anna Lena Hunkenschroer, Alexander Kriebitz:
Is AI recruiting (un)ethical? A human rights perspective on the use of AI for hiring. 199-213 - Rosalie A. Waelen:
The struggle for recognition in the age of facial recognition technology. 215-222 - Pravik Solanki, John Grundy, Waqar Hussain:
Operationalising ethics in artificial intelligence for healthcare: a framework for AI developers. 223-240 - Luciano Cavalcante Siebert, Maria Luce Lupetti, Evgeni Aizenberg, Niek Beckers, Arkady Zgonnikov, Herman Veluwenkamp, David A. Abbink, Elisa Giaccardi, Geert-Jan Houben, Catholijn M. Jonker, Jeroen van den Hoven, Deborah Forster, Reginald L. Lagendijk:
Meaningful human control: actionable properties for AI system development. 241-255 - Alvaro Fernandez-Quilez:
Deep learning in radiology: ethics of data and on the value of algorithm transparency, interpretability and explainability. 257-265 - Avinash Agarwal, Harsh Agarwal, Nihaarika Agarwal:
Fairness Score and process standardization: framework for fairness certification in artificial intelligence systems. 267-279 - Marc Steen, Jurriaan van Diggelen, Tjerk Timan, Nanda van der Stap:
Meaningful human control of drones: exploring human-machine teaming, informed by four different ethical perspectives. 281-293 - Fabio Tollon:
Responsibility gaps and the reactive attitudes. 295-302 - Georg Starke, Benedikt Schmidt, Eva M. De Clercq, Bernice Simone Elger:
Explainability as fig leaf? An exploration of experts' ethical expectations towards machine learning in psychiatry. 303-314 - Marietjie Botes:
Autonomy and the social dilemma of online manipulative behavior. 315-323 - Muhammad Zahid Iqbal, Abraham G. Campbell:
Adopting smart glasses responsibly: potential benefits, ethical, and privacy concerns with Ray-Ban stories. 325-327 - Thilo Hagendorff:
AI ethics and its pitfalls: not living up to its own standards? 329-336 - Fritz J. McDonald:
AI, alignment, and the categorical imperative. 337-344 - Sara Kassir, Lewis J. Baker, Jackson Dolphin, Frida Polli:
Publisher Correction: AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact. 345 - Peter Singer, Yip Fai Tse:
Correction: AI ethics: the case for including animals. 347
Volume 3, Number 2, May 2023
- Nyu Wang, Michael Yuan Tian:
"Intelligent Justice": human-centered considerations in China's legal AI transformation. 349-354 - Joris Krijger, Tamara Thuis, M. de Ruiter, E. Ligthart, I. Broekman:
The AI ethics maturity model: a holistic approach to advancing ethical data science in organizations. 355-367 - Tahereh Saheb:
"Ethically contentious aspects of artificial intelligence surveillance: a social science perspective". 369-379 - Emre Kazim, Osman Güçlütürk, Denise R. S. Almeida, Charles Kerrigan, Elizabeth Lomas, Adriano S. Koshiyama, Airlie Hilliard, Markus Trengove:
Proposed EU AI Act - Presidency compromise text: select overview and comment on the changes to the proposed regulation. 381-387 - Blair Attard-Frost, Andres De los Ríos, Deneille R. Walters:
The ethics of AI business practices: a review of 47 AI ethics guidelines. 389-406 - Andreas Schönau:
Agency in augmented reality: exploring the ethics of Facebook's AI-powered predictive recommendation system. 407-417 - Paula Sweeney:
Trusting social robots. 419-426 - Maria Joseph Israel, Ahmed Amer:
Rethinking data infrastructure and its ethical implications in the face of automated digital content generation. 427-439 - Shailendra Kumar, Sanghamitra Choudhury:
Normative ethics, human rights, and artificial intelligence. 441-450 - Jakob Mökander, Luciano Floridi:
Operationalising AI governance through ethics-based auditing: an industry case study. 451-468 - Saleh Afroogh:
A probabilistic theory of trust concerning artificial intelligence: can intelligent robots trust humans? 469-484 - Krishna Ravali Jammalamadaka, Srikanth Itapu:
Responsible AI in automated credit scoring systems. 485-495 - Petar Radanliev, David De Roure:
Review of the state of the art in autonomous artificial intelligence. 497-504 - Pascale Fung, Hubert Etienne:
Confucius, cyberpunk and Mr. Science: comparing AI ethics principles between China and the EU. 505-511 - Onur Bakiner:
What do academics say about artificial intelligence ethics? An overview of the scholarship. 513-525 - Cindy Friedman:
Ethical concerns with replacing human relations with humanoid robots: an ubuntu perspective. 527-538 - Peter Singer, Yip Fai Tse:
AI ethics: the case for including animals. 539-551 - Thilo Hagendorff, David Danks:
Ethical and methodological challenges in building morally informed AI systems. 553-566 - Dina Babushkina:
Are we justified attributing a mistake in diagnosis to an AI diagnostic system? 567-584 - Paul Hayes, Ibo van de Poel, Marc Steen:
Moral transparency of and concerning algorithmic tools. 585-600 - Jack McGuire, David De Cremer:
Algorithms, leadership, and morality: why a mere human effect drives the preference for human over algorithmic leadership. 601-618 - Joshua L. M. Brand:
Why reciprocity prohibits autonomous weapons systems in war. 619-624 - Sara Solarova, Juraj Podrouzek, Matús Mesarcík, Adrian Gavornik, Mária Bieliková:
Reconsidering the regulation of facial recognition in public spaces. 625-635 - Arturo Geigel:
Machine learning AI systems and the virtue of inventiveness. 637-645 - Tim Gorichanaz:
Being at home in the metaverse? Prospectus for a social imaginary. 647-658 - Jakob Mökander, Luciano Floridi:
Correction: Operationalising AI governance through ethics-based auditing: an industry case study. 659
Volume 3, Number 3, August 2023
- Peter Smith, Laura Smith:
Editorial piece: Technology built on sand? 661-662 - Ajay Vishwanath, Einar Duenger Bøhn, Ole-Christoffer Granmo, Charl Maree, Christian W. Omlin:
Towards artificial virtuous agents: games, dilemmas and machine learning. 663-672 - Merve Hickok, Nestor Maslej:
A policy primer and roadmap on AI worker surveillance and productivity scoring tools. 673-687 - Richard Benjamins, Yaiza Rubio Viñuela, Chema Alonso:
Social and ethical challenges of the metaverse. 689-697 - Erich Prem:
From ethical AI frameworks to tools: a review of approaches. 699-716 - Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer:
Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals. 717-734 - Karoline Reinhardt:
Trust and trustworthiness in AI ethics. 735-744 - Bernd Carsten Stahl, Tonii Leach:
Assessing the ethical and social concerns of artificial intelligence in neuroinformatics research: an empirical test of the European Union Assessment List for Trustworthy AI (ALTAI). 745-767 - Diogo Cortiz:
A narrative review of fairness and morality in neuroscience: insights to artificial intelligence. 769-780 - Bryce Goodman:
Privacy without persons: a Buddhist critique of surveillance capitalism. 781-792 - Ren Bin Lee Dixon:
A principled governance for emerging AI regimes: lessons from China, the European Union, and the United States. 793-810 - Soheil Human, Ryan Watkins:
Needs and artificial intelligence. 811-826 - Yuko Ikkatai, Tilman Hartwig, Naohiro Takanashi, Hiromi M. Yokoyama:
Segmentation of ethics, legal, and social issues (ELSI) related to AI in Japan, the United States, and Germany. 827-843 - Sara Kassir, Lewis J. Baker, Jackson Dolphin, Frida Polli:
AI for hiring in context: a perspective on overcoming the unique challenges of employment research to mitigate disparate impact. 845-868 - Luke Munn:
The uselessness of AI ethics. 869-877 - Rodrigo L. Canalli:
Artificial intelligence and the model of rules: better than us? 879-885 - Ilse Verdiesen, Virginia Dignum:
Value elicitation on a scenario of autonomous weapon system deployment: a qualitative study based on the value deliberation process. 887-900 - Suzanne Kawamleh:
Against explainability requirements for ethical artificial intelligence in health care. 901-916 - Michael Pflanzer, Zachary Traylor, Joseph B. Lyons, Veljko Dubljevic, Chang S. Nam:
Ethics in human-AI teaming: principles and perspectives. 917-935 - Jimiama M. M. Mase, Natalie Leesakul, Grazziela P. Figueredo, Mercedes Torres Torres:
Facial identity protection using deep learning technologies: an application in affective computing. 937-946 - Sivan Tamir:
Artificial intelligence in human reproduction: charting the ethical debate over AI in IVF. 947-961 - Uwe Peters:
Explainable AI lacks regulative reasons: why AI and human decision-making are not equally opaque. 963-974 - Shailendra Kumar, Sanghamitra Choudhury:
Humans, super humans, and super humanoids: debating Stephen Hawking's doomsday AI forecast. 975-984 - Maksim Karliuk:
Proportionality principle for the ethics of artificial intelligence. 985-990 - Seng W. Loke:
Designed to cooperate: a Kant-inspired ethic of machine-to-machine cooperation. 991-996 - Kristin Undheim, Truls Erikson, Bram Timmermans:
True uncertainty and ethical AI: regulatory sandboxes as a policy tool for moral imagination. 997-1002 - Anne Zimmerman, Joel Janhonen, Michael Saadeh, Camille Castelyn, Heikki Saxén:
Values in AI: bioethics and the intentions of machines and people. 1003-1012 - Björn Lundgren:
In defense of ethical guidelines. 1013-1020 - Ognjen Arandjelovic:
Apropos of "Speciesist bias in AI: how AI applications perpetuate discrimination and unfair outcomes against animals". 1021-1023 - Kestutis Mosakas:
Reflections on Killing Sophia by Thomas Telving. 1025-1031 - Ryan Lemasters:
An entryway into technology ethics. Sven Nyholm's This is Technology Ethics: An Introduction (2023). 1033-1035
Volume 3, Number 4, November 2023
- David De Cremer, Devesh Narayanan:
On educating ethics in the AI era: why business schools need to move beyond digital upskilling, towards ethical upskilling. 1037-1041 - Thilo Hagendorff, Leonie Bossert, Yip Fai Tse, Peter Singer:
Speciesist bias in AI: a reply to Arandjelović. 1043-1047 - Guilherme Giantini:
The sophistry of the neutral tool. Weaponizing artificial intelligence and big data into threats toward social exclusion. 1049-1061 - Germaine Tchuenté-Foguem, Aurelien Teguede Keleko:
Artificial intelligence applied in pulmonary hypertension: a bibliometric analysis. 1063-1093 - Cathy Roche, P. J. Wall, David Lewis:
Ethics and diversity in artificial intelligence policies, strategies and initiatives. 1095-1115 - David M. Douglas, Justine Lacey, David Howard:
Ethical risks of AI-designed products: bespoke surgical tools as a case study. 1117-1133 - Ronny Bogani, Andreas Theodorou, Luca Arnaboldi, Robert H. Wortham:
Garbage in, toxic data out: a proposal for ethical artificial intelligence sustainability impact statements. 1135-1142 - Alessandra Buccella:
"AI for all" is a matter of social justice. 1143-1152 - Tim Räz:
Understanding risk with FOTRES? 1153-1167 - Ramón Alvarado:
What kind of trust does AI deserve, if any? 1169-1183 - Anna Katrine Jørgensen, Anders Søgaard:
Rawlsian AI fairness loopholes. 1185-1192 - Satvik Tripathi, Alisha Isabelle Augustin, Farouk Dako, Edward Kim:
Turing test-inspired method for analysis of biases prevalent in artificial intelligence-based medical imaging. 1193-1201 - Mattis Jacobs, Judith Simon:
Reexamining computer ethics in light of AI systems and AI regulation. 1203-1213 - Benjamin Post, Cosmin Badea, Aldo Faisal, Stephen J. Brett:
Breaking bad news in the era of artificial intelligence and algorithmic medicine: an exploration of disclosure and its ethical justification using the hedonic calculus. 1215-1228 - Sven Nyholm:
A new control problem? Humanoid robots, artificial intelligence, and the value of control. 1229-1239 - Connor Rees, Berndt Müller:
All that glitters is not gold: trustworthy and ethical AI principles. 1241-1254 - Hugo Cossette-Lefebvre, Jocelyn Maclure:
AI's fairness problem: understanding wrongful discrimination in the context of automated decision-making. 1255-1269 - Leying Zou, Warut Khern-am-nuai:
AI and housing discrimination: the case of mortgage applications. 1271-1281 - Borja Sanz-Urquijo, Eduard Fosch-Villaronga, M. Lopez-Belloso:
The disconnect between the goals of trustworthy AI for law enforcement and the EU research agenda. 1283-1294 - Holli Sargeant:
Algorithmic decision-making in financial services: economic and normative outcomes in consumer credit. 1295-1311 - Davide Calvaresi, Rachele Carli, Jean-Gabriel Piguet, Victor Contreras, Gloria Luzzani, Amro Najjar, Jean-Paul Calbimonte, Michael Schumacher:
Ethical and legal considerations for nutrition virtual coaches. 1313-1340 - Mark Coeckelbergh:
Democracy, epistemic agency, and AI: political epistemology in times of artificial intelligence. 1341-1350 - Ori Freiman:
Making sense of the conceptual nonsense 'trustworthy AI'. 1351-1360 - Jake Burley, Nir Eisikovits:
Workplace automation and political replacement: a valid analogy? 1361-1370 - Blanca Rodríguez-López, Jon Rueda:
Artificial moral experts: asking for ethical advice to artificial intelligent assistants. 1371-1379 - Robin Chan, Radin Dardashti, Meike Osinski, Matthias Rottmann, Dominik Brüggemann, Cilia Rücker, Peter Schlicht, Fabian Hüger, Nikol Rummel, Hanno Gottschalk:
What should AI see? Using the public's opinion to determine the perception of an AI. 1381-1405 - Ana Valdivia, Júlia Corbera-Serrajòrdia, Aneta Swianiewicz:
There is an elephant in the room: towards a critique on the use of fairness in biometrics. 1407-1422 - Michael B. McCarthy, Sundaraparipurnan Narayanan:
Fairness-accuracy tradeoff: activation function choice in a neural network. 1423-1432 - Andrew McStay:
Replika in the Metaverse: the moral problem with empathy in 'It from Bit'. 1433-1445 - Hutan Ashrafian:
Engineering a social contract: Rawlsian distributive justice through algorithmic game theory and artificial intelligence. 1447-1454
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last updated on 2025-02-28 21:53 CET by the dblp team
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