“Integrative Social Robotics” – A New Method Paradigm to Solve the Description Problem And the Regulation Problem?
This academic paper proposes 'Integrative Social Robotics' (ISR) as a new methodological paradigm to address the descriptive and regulatory challenges of social robotics by combining empirical research with value-theoretic inquiry from the humanities and social sciences. It argues that descriptive questions about what social robots can do and normative questions about what they should do must be treated concurrently from the very beginning of the design and development process. The ISR approach functions as user-driven design writ large, where the creation of robotics applications is continuously guided by the reflected normative preferences of a cultural community.
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Who issued it
Who it governs
Researchers and developers in social robotics and human-robot interaction who want to incorporate normative and cultural values into their design process.
What the document contains
The text covers the methodological framework of Integrative Social Robotics, proposing a unified approach for integrating value-theoretic, cultural, and empirical research into the design and development of social robots.
The text does not provide specific legal regulations, enforcement mechanisms, or technical standards for social robots.
- Integrative Social Robotics (ISR) proposes combining descriptive and regulatory questions in social robotics research from the outset.
- Traditional approaches separate Human-Robot Interaction research on what robots can do from robo-ethicists deliberating what they should do.
- ISR integrates empirical, conceptual, and value-theoretic research from the humanities, social sciences, and human sciences.
- The paradigm acts as user-driven design writ large, guided by the reflected normative preferences of cultural communities.
Not stated
How it scores
Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.
Accountability
0/5Clear responsibility for AI outcomes
Abstract
screening score · 2026-10-23
Fairness
0/5Non-discrimination and equitable treatment
Abstract
screening score · 2026-10-23
Human Dignity
0/5Respect for the inherent worth of persons
Abstract
screening score · 2026-10-23
Human Oversight
0/5Humans remain in control of consequential decisions
Abstract
screening score · 2026-10-23
Privacy
0/5Protection of personal data and private life
Abstract
screening score · 2026-10-23
Transparency
0/5Openness about how AI systems work and are used
Abstract
screening score · 2026-10-23
Enforcement
0/5Consequences and compliance mechanisms with real force
Abstract
screening score · 2026-10-23
Impact Assessment
3/5Required assessment of an AI system's risks/impacts before or during use
design and development are from the very beginning informed by value-theoretic and cultural research
Abstract
screening score · 2026-10-23