The Monstrous Posthuman: Ethical and Legal Responses to Cyborgs, Artificial Intelligence and Robotic Entities
This academic article examines how artificial intelligence, robotics, and posthuman entities are framed as monstrous within legal discourse and popular culture. Drawing on monster theory and posthumanist philosophy, the author argues that monstrosity functions as a regulatory and exclusionary strategy used by humanist legal systems to police the boundaries of rights and agency. Ultimately, the text proposes a relational and inclusive approach to legal subjectivity that embraces vulnerability and distributed agency rather than exclusion.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, legal theorists, and policymakers interested in the philosophical and conceptual foundations of artificial intelligence regulation and posthuman legal studies.
What the document contains
The text covers the intersection of posthumanist theory, monster theory, and legal philosophy, analyzing how AI and robotic entities are excluded from legal personhood through cultural and juridical framing. It evaluates fictional and real-world legal models, such as electronic personhood and robotic regulations, while proposing a relational model of legal subjectivity.
The document does not provide binding statutory rules, technical compliance standards, or specific legislative drafts for immediate government adoption.
- Legal systems consistently figure artificial intelligence and cyborgs as monstrous to justify their exclusion from rights and legal personhood.
- Monster theory offers a heuristic for uncovering the anthropocentric biases and foundational limitations of modern liberal legal thought.
- Fictional narratives and speculative laws, from Asimov's rules to sci-fi films, actively construct the ontologies and expectations used to govern non-human agents.
- The legal invisibility of advanced technologies creates accountability gaps and diffuses responsibility across complex sociotechnical systems.
- A transition toward a relational approach to legal subjectivity, grounded in vulnerability and interdependence, is necessary to address the posthuman condition.
· Introduction · Theoretical Framework: Monstrosity, Posthumanism, and Law · Legal Fictions and Fictional Laws: From Asimov to the Algorithmic Society · The Monster as Legal Problem: Fear, Otherness, and Control · Legal (In)Visibility and Hybrid Personhood · Rethinking Legal Subjectivity: Toward Posthuman Rights · Conclusion. The Monster as Threshold
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
3/5Clear responsibility for AI outcomes
These include both fictional representations (e.g., Ava in Ex Machina, the replicants of Blade Runner) and real-world legal debates on robot rights, algorithmic accountability, and bioengineered agency.
Introduction
screening score · 2026-10-24
Fairness
1/5Non-discrimination and equitable treatment
Consider how algorithms used in immigration, policing, and welfare systems are often framed as neutral tools despite their demonstrable biases and harms.
The Monster as Legal Problem: Fear, Otherness, and Control
screening score · 2026-10-24
Human Dignity
3/5Respect for the inherent worth of persons
Against this backdrop, the article proposes a relational approach to legal subjectivity grounded in vulnerability, interdependence, and distributed agency – one capable of guiding gradual yet necessary adaptations.
Abstract
screening score · 2026-10-24
Human Oversight
2/5Humans remain in control of consequential decisions
Y et even in his progressive vision, the question of legal personhood for non-human entities remains largely unresolved.
Introduction
screening score · 2026-10-24
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-24
Transparency
2/5Openness about how AI systems work and are used
Legal scholarship and regulation are beginning to reckon with these dynamics, though often without acknowledging their affective substrate. For instance, discussions around the “black box” nature of deep learning systems focus on explainability and accountability, yet rarely question why opacity itself has become such a site of anxiety.
The Monster as Legal Problem: Fear, Otherness, and Control
screening score · 2026-10-24
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-24
Impact Assessment
0/5Required assessment of an AI system's risks/impacts before or during use
Abstract
screening score · 2026-10-24