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The 'robot rights' debate, and its related question of 'robot responsibility', invokes some of the most polarized positions in AI ethics.
Should Trees Have Standing–Toward Legal Rights for Natural Objects
Christopher D Stone. 1972 · 1972
Earlier work this paper cites.
The structures of the life-world . Vol. 1
Alfred Schutz and Thomas Luckmann. 1973 · 1973
Earlier work this paper cites.
Ironies of automation
Lisanne Bainbridge. 1983 · 1983
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The intentional stance. 1987
Daniel C Dennett. 1987 · 1987
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Cognition in practice: Mind, mathematics and culture in everyday life
Jean Lave. 1988 · 1988
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Being there: Putting brain, body, and world together again
Andy Clark. 1998 · 1998
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WILL ROBOTS DEMAND EQUAL RIGHTS?
Rodney Brooks. 2000 · 2000
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Defining the web: The politics of search engines
Lucas Introna and Helen Nissenbaum. 2000 · 2000
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De daadkracht der dingen: over techniek, filosofie en vormgeving
Peter-Paul Camiel Christiaan Verbeek. 2000 · 2000
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The age of surveillance capitalism: The fight for a human future at the new frontier of power
Shoshana Zuboff. 2019 · 2001
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The ethical implications of the five-stage skill-acquisition model
Hubert L Dreyfus and Stuart E Dreyfus. 2004 · 2004
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The singularity is near: When humans transcend biology
Ray Kurzweil. 2005 · 2005
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What should we want from a robot ethic
Peter M Asaro. 2006 · 2006
Earlier work this paper cites.
Human-machine reconfigurations: Plans and situated actions
Lucy Suchman and Lucy A Suchman. 2007 · 2007
Earlier work this paper cites.
Sometimes it’s hard to be a robot: A call for action on the ethics of abusing artificial agents
Blay Whitby. 2008 · 2008
Earlier work this paper cites.
Robots should be slaves
Joanna J Bryson. 2010 · 2010
Cited alongside, same era.
Robot rights? Towards a social-relational justification of moral consideration
Mark Coeckelbergh. 2010 · 2010
Cited alongside, same era.
The human condition. Chicago and London
Hannah Arendt. 1958 · 2012
Cited alongside, same era.
The ironies of automation: still going strong at 30?. In ECCE . 65–71
Gordon D Baxter, John Rooksby, Yuanzhi Wang, and Ali Khajeh-Hosseini. 2012 · 2012
Cited alongside, same era.
Gibson’s ecological approach
Sabrina Golonka and Andrew D Wilson. 2012 · 2012
Cited alongside, same era.
Stanley Milgram’s obedience experiments: A report card 50 years later
Augustine Brannigan. 2013 · 2013
Cited alongside, same era.
Automating inequality: How high-tech tools profile, police, and punish the poor
Virginia Eubanks. 2018 · 2018
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Fairness in precision medicine
Kadija Ferryman and Mikaela Pitcan. 2018 · 2018
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Robot rights
David J Gunkel. 2018 · 2018
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The misgendering machines: Trans/HCI implications of automatic gender recognition
Os Keyes. 2018 · 2018
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Data science as machinic neoplatonism
Dan McQuillan. 2018 · 2018
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Designing for embodied being-in-the-world: A critical analysis of the concept of embodiment in the design of hybrids
Jelle Van Dijk. 2018 · 2018
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Paul M Churchland. 2013 · 2013
Cited alongside, same era.
The rights of machines: Caring for robotic care-givers
David J Gunkel. 2015 · 2015
Cited alongside, same era.
Machine bias
Julia Angwin, Jeff Larson, Surya Mattu, and Lauren Kirchner. 2016 · 2016
Cited alongside, same era.
Weapons of math destruction: How big data increases inequality and threatens democracy
Cathy O’neil. 2016 · 2016
Cited alongside, same era.
Descartes Was Wrong:‘A Person Is a Person through Other Persons’
Abeba Birhane. 2017 · 2017
Cited alongside, same era.
Ironies of automation: Still unresolved after all these years
Barry Strauch. 2017 · 2017
Cited alongside, same era.
Race after technology: Abolitionist tools for the new jim code
Ruha Benjamin. 2019 · 2019
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Artificial Intelligence, Responsibility Attribution, and a Relational Justification of Explainability
Mark Coeckelbergh. 2019 · 2019
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Algorithmic Bias? An Empirical Study of Apparent Gender-Based Discrimination in the Display of STEM Career Ads
Anja Lambrecht and Catherine Tucker. 2019 · 2019
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Dissecting Racial Bias in an Algorithm that Guides Health Decisions for 70 Million People. In Proceedings of the Conference on Fairness, Accountability, and Transparency . ACM, 89–89
Ziad Obermeyer and Sendhil Mullainathan. 2019 · 2019
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Dirty Data, Bad Predictions: How Civil Rights Violations Impact Police Data, Predictive Policing Systems, and Justice
Rashida Richardson, Jason Schultz, and Kate Crawford. 2019 · 2019
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Team Human
Douglas Rushkoff. 2019 · 2019
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Micro-work, artificial intelligence and the automotive industry
Paola Tubaro and Antonio A Casilli. 2019 · 2019
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Predictive inequity in object detection
Benjamin Wilson, Judy Hoffman, and Jamie Morgenstern. 2019 · 2019
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