LegalAIze: Tackling the Normative Challenges of Artificial Intelligence and Robotics Through the Secondary Rules of Law
This academic chapter addresses the normative and legal challenges of artificial intelligence and robotics through a threefold legal perspective focusing on innovation governance, legal responsibility in the civilian sector, and the risk of over-regulation hindering research. It proposes leveraging secondary rules of law, such as legally de-regulated special zones, to overcome current legal deadlocks and better shape primary legal frameworks.
Summary and content fields are drawn from the document text and are pending editorial review.
Who issued it
Who it governs
Researchers, legal scholars, and policymakers interested in the intersection of law, artificial intelligence, and robotics.
What the document contains
The chapter explores how legal systems can govern technological innovation in AI and robotics, manage civilian liability and accident control, and avoid over-legislation that harms research and human well-being.
The text does not provide binding statutory text, administrative regulations, or specific enforcement guidelines.
- The legal challenges of AI and robotics should be addressed through a threefold legal perspective examining innovation governance, liability, and the risk of hindering research.
- Secondary rules of law, particularly rules of change, can help address current legal deadlocks and clarify the need for appropriate primary rules.
- The creation of legally de-regulated or special zones for AI and robotics offers a promising framework for managing risks without stifling technological innovation.
- Accident control methods such as strict liability rules or the precautionary principle help balance activity scale with public safety.
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
Second, attention is drawn to matters of legal responsibility, especially in the civilian sector, by taking into account methods of accident control that either cut back on the scale of the activity via, e.g., strict liability rules
Abstract
screening score · 2026-10-24
Fairness
0/5Non-discrimination and equitable treatment
screening score · 2026-10-24
Human Dignity
0/5Respect for the inherent worth of persons
screening score · 2026-10-24
Human Oversight
0/5Humans remain in control of consequential decisions
screening score · 2026-10-24
Privacy
1/5Protection of personal data and private life
Robots in the cloud with privacy: a new threat to data protection?
References
screening score · 2026-10-24
Transparency
0/5Openness about how AI systems work and are used
screening score · 2026-10-24
Enforcement
2/5Consequences and compliance mechanisms with real force
taking into account methods of accident control that either cut back on the scale of the activity via, e.g., strict liability rules, or aim to prevent such activities through the precautionary principle
Abstract
screening score · 2026-10-24
Impact Assessment
2/5Required assessment of an AI system's risks/impacts before or during use
attention is drawn to matters of legal responsibility, especially in the civilian sector, by taking into account methods of accident control that either cut back on the scale of the activity via, e.g., strict liability rules, or aim to prevent such activities through the precautionary principle.
Abstract
screening score · 2026-10-24