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ORCIDAI and Ethics, Volume 1
Volume 1, Number 1, February 2021
- John MacIntyre, Larry R. Medsker, Rachel Moriarty
:
Past the tipping point? 1-3 - Beishui Liao, Michael Anderson, Susan Leigh Anderson:
Representation, justification, and explanation in a value-driven agent: an argumentation-based approach. 5-19 - Dave Lauer:
You cannot have AI ethics without ethics. 21-25 - Susan Leigh Anderson, Michael Anderson:
AI and ethics. 27-31 - Anthony J. Rhem:
AI ethics and its impact on knowledge management. 33-37 - Anthony J. Rhem:
Correction to: AI ethics and its impact on knowledge management. 39 - Merve Hickok:
Lessons learned from AI ethics principles for future actions. 41-47 - Richard Benjamins:
A choices framework for the responsible use of AI. 49-53 - Hengjin Cai:
Reaching consensus with human beings through blockchain as an ethical rule of strong artificial intelligence. 55-59 - Jason Borenstein, Ayanna M. Howard:
Emerging challenges in AI and the need for AI ethics education. 61-65 - Mark Coeckelbergh:
AI for climate: freedom, justice, and other ethical and political challenges. 67-72 - Ray Eitel-Porter:
Beyond the promise: implementing ethical AI. 73-80 - Peter Smith, Laura Smith:
Artificial intelligence and disability: too much promise, yet too little substance? 81-86 - Olivia Gambelin:
Brave: what it means to be an AI Ethicist. 87-91
Volume 1, Number 2, May 2021
- Kevin LaGrandeur:
How safe is our reliance on AI, and should we regulate it? 93-99 - Jamie Brandon:
Using unethical data to build a more ethical world. 101-108 - Paula Boddington:
AI and moral thinking: how can we live well with machines to enhance our moral agency? 109-111 - Daniel W. Tigard:
Responsible AI and moral responsibility: a common appreciation. 113-117 - Patrick van Esch, J. Stewart Black, Denni Arli:
Job candidates' reactions to AI-Enabled job application processes. 119-130 - Christoph Ebell, Ricardo Baeza-Yates, Richard Benjamins, Hengjin Cai, Mark Coeckelbergh, Tania Duarte, Merve Hickok, Aurelie Jacquet, Angela Kim, Joris Krijger, John MacIntyre, Piyush B. Madhamshettiwar, Lauren Maffeo, Jeanna Matthews, Larry R. Medsker, Peter Smith, Savannah Thais:
Towards intellectual freedom in an AI Ethics Global Community. 131-138 - Christoph Ebell, Ricardo Baeza-Yates, Richard Benjamins, Hengjin Cai, Mark Coeckelbergh, Tania Duarte, Merve Hickok, Aurelie Jacquet, Angela Kim, Joris Krijger, John MacIntyre, Piyush B. Madhamshettiwar, Lauren Mafeo, Jeanna Matthews, Larry R. Medsker, Peter Smith, Savannah Thais:
Correction to: Towards intellectual freedom in an AI Ethics Global Community. 139-140 - Thorsten Jelinek, Wendell Wallach, Danil Kerimi:
Policy brief: the creation of a G20 coordinating committee for the governance of artificial intelligence. 141-150 - Heidi Furey, Scott Hill:
MIT's moral machine project is a psychological roadblock to self-driving cars. 151-155 - Heidi Furey, Scott Hill:
Correction to: MIT's moral machine project is a psychological roadblock to self-driving cars. 157 - Thiago Guimaraes Moraes, Eduarda Costa Almeida, José Renato Laranjeira de Pereira:
Smile, you are being identified! Risks and measures for the use of facial recognition in (semi-)public spaces. 159-172 - Josef Baker-Brunnbauer:
Management perspective of ethics in artificial intelligence. 173-181 - Bartlomiej Chomanski:
If robots are people, can they be made for profit? Commercial implications of robot personhood. 183-193 - Don Gotterbarn, David Kreps:
Being a data professional: give voice to value in a data driven society. 195-203
Volume 1, Number 3, August 2021
- Catherine Petrozzino:
Who pays for ethical debt in AI? 205-208 - Yi Zeng, Kang Sun, Enmeng Lu:
Declaration on the ethics of brain-computer interfaces and augment intelligence. 209-211 - Aimee van Wynsberghe:
Sustainable AI: AI for sustainability and the sustainability of AI. 213-218 - Emre Kazim, Adriano S. Koshiyama:
The interrelation between data and AI ethics in the context of impact assessments. 219-225 - John Danaher, Sven Nyholm:
Automation, work and the achievement gap. 227-237 - Bertrand K. Hassani:
Societal bias reinforcement through machine learning: a credit scoring perspective. 239-247 - Ryan Steed, Aylin Caliskan:
A set of distinct facial traits learned by machines is not predictive of appearance bias in the wild. 249-260 - Charlotte Stix, Matthijs M. Maas:
Bridging the gap: the case for an 'Incompletely Theorized Agreement' on AI policy. 261-271 - David M. Douglas, David Howard, Justine Lacey:
Moral responsibility for computationally designed products. 273-281 - Steven Umbrello, Ibo van de Poel:
Mapping value sensitive design onto AI for social good principles. 283-296 - Kelly Forbes:
Opening the path to ethics in artificial intelligence. 297-300 - Emre Kazim, Danielle Mendes Thame Denny, Adriano S. Koshiyama:
AI auditing and impact assessment: according to the UK information commissioner's office. 301-310 - Emre Kazim, Danielle Mendes Thame Denny, Adriano S. Koshiyama:
Correction to: AI auditing and impact assessment: according to the UK information commissioner's office. 311 - Christian Herzog né Hoffmann:
On formal ethics versus inclusive moral deliberation. 313-329 - Tyler L. Jaynes:
On human genome manipulation and Homo technicus: the legal treatment of non-natural human subjects. 331-345 - Bernardo A. Huberman, Tad Hogg:
Privacy and data balkanization: circumventing the barriers. 347-353 - Kareem Othman:
Public acceptance and perception of autonomous vehicles: a comprehensive review. 355-387
Volume 1, Number 4, November 2021
- R. Wallace:
'The names have changed, but the game's the same': artificial intelligence and racial policy in the USA. 389-394 - David Lauer:
Facebook's ethical failures are not accidental; they are part of the business model. 395-403 - Robert Hanna, Emre Kazim:
Philosophical foundations for digital ethics and AI Ethics: a dignitarian approach. 405-423 - Shimon Kaplan, Doron Handelman, Amir Handelman:
Sensitivity of neural networks to corruption of image classification. 425-434 - Ken Daley:
Two arguments against human-friendly AI. 435-444 - Philip C. Treleaven, Jeremy Barnett, Andrew Knight, Will Serrano:
Real Estate Data Marketplace. 445-462 - Clément Henin, Daniel Le Métayer:
A framework to contest and justify algorithmic decisions. 463-476 - Andreia Martinho, Adam Poulsen, Maarten Kroesen, Caspar G. Chorus:
Perspectives about artificial moral agents. 477-490 - Elias Moser:
Against robot taxes: scrutinizing the moral reasons for the preservation of work. 491-499 - Marc Steen, Tjerk Timan, Ibo van de Poel:
Responsible innovation, anticipation and responsiveness: case studies of algorithms in decision support in justice and security, and an exploration of potential, unintended, undesirable, higher-order effects. 501-515 - Andrea Owe, Seth D. Baum:
Moral consideration of nonhumans in the ethics of artificial intelligence. 517-528 - Michelle Seng Ah Lee, Luciano Floridi, Jatinder Singh:
Formalising trade-offs beyond algorithmic fairness: lessons from ethical philosophy and welfare economics. 529-544 - Jun Kyung You:
A critique of the 'as-if' approach to machine ethics. 545-552 - Etienne Huber:
The future of online trust (and why Deepfake is advancing it). 553-562 - David De Cremer, Leander De Schutter:
How to use algorithmic decision-making to promote inclusiveness in organizations. 563-567 - Jimmy Yicheng Huang, Abhishek Gupta, Monica Youn:
Survey of EU ethical guidelines for commercial AI: case studies in financial services. 569-577 - John-Stewart Gordon, Ausrine Pasvenskiene:
Human rights for robots? A literature review. 579-591 - Michael Laakasuo, Volo Herzon, Silva Perander, Marianna Drosinou, Jukka Sundvall, Jussi Palomäki, Aku Visala:
Socio-cognitive biases in folk AI ethics and risk discourse. 593-610 - Daniel W. Tigard:
Workplace automation without achievement gaps: a reply to Danaher and Nyholm. 611-617
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