Robot Rights? Let's Talk about Human Welfare Instead
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Abstract (arXiv)
The 'robot rights' debate, and its related question of 'robot responsibility', invokes some of the most polarized positions in AI ethics. While some advocate for granting robots rights on a par with human beings, others, in a stark opposition argue that robots are not deserving of rights but are objects that should be our slaves. Grounded in post-Cartesian philosophical foundations, we argue not just to deny robots 'rights', but to deny that robots, as artifacts emerging out of and mediating human being, are the kinds of things that could be granted rights in the first place. Once we see robots as mediators of human being, we can understand how the `robots rights' debate is focused on first world problems, at the expense of urgent ethical concerns, such as machine bias, machine elicited human labour exploitation, and erosion of privacy all impacting society's least privileged individuals. We conclude that, if human being is our starting point and human welfare is the primary concern, the negative impacts emerging from machinic systems, as well as the lack of taking responsibility by people designing, selling and deploying such machines, remains the most pressing ethical discussion in AI.
Key facts. Cited by 9 papers in the map (data through 13 Oct 2026). First posted on arXiv 14 Jan 2020.
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Citing papers per year: 2021: 1; 2022: 2; 2023: 2; 2024: 3; 2025: 0; 2026: 1.
9 papers.
- 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learningcited by 47
- 2024Taking AI Welfare Seriouslycited by 29
- 2021A Word on Machine Ethics: A Response to Jiang et al. (2021)cited by 23
- 2023Concrete Problems in AI Safety, Revisitedcited by 22
- 2022A Human Rights-Based Approach to Responsible AIcited by 20
- 2024Simulacra as Conscious Exoticacited by 16
- 2023AGI: Artificial General Intelligence for Educationcited by 7
- 2024Towards Equitable Agile Research and Development of AI and Roboticscited by 1
- 2026Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigationscited by 0
- 2026Anthropomorphism in the age of Large Language Models: An overview of potential risks and mitigations29 Sep 2026
- 2024Taking AI Welfare Seriously4 Nov 2024
- 2024Simulacra as Conscious Exotica19 Feb 2024
- 2024Towards Equitable Agile Research and Development of AI and Robotics13 Feb 2024
- 2023Concrete Problems in AI Safety, Revisited18 Dec 2023
- 2023AGI: Artificial General Intelligence for Education24 Apr 2023
- 2022A Human Rights-Based Approach to Responsible AI6 Oct 2022
- 2022Accountability in an Algorithmic Society: Relationality, Responsibility, and Robustness in Machine Learning10 Feb 2022
- 2021A Word on Machine Ethics: A Response to Jiang et al. (2021)7 Nov 2021