Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies
Assessment outcome
total 3/6 (actionability 0 + authority 1 + currency 2)
Authorship & scope
Named authors Stefan Larsson, Mia Liinason, Laetitia Tanqueray, and Ginevra Castellano are clearly identified.
Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
Issuers, who it governs, legal force and content are on the full record.
Eligibility gates
HTTP 200, 12546 words of full text extracted
The source explicitly focuses on data-intense AI research, adaptive technologies, and machine learning methodologies embedded in robotics.
The paper addresses fairness, ethical questions, social norms, and the governance of adaptive technologies and AI systems.
Named authors Stefan Larsson, Mia Liinason, Laetitia Tanqueray, and Ginevra Castellano are clearly identified.
Published in 2023 with no indication of being superseded, withdrawn, or repealed.
Scored criteria
Actionability
0/2Anchor 0: The text offers descriptive and analytical socio-legal frameworks for robotics without prescribing binding steps, obligations, or controls.
Authority
1/2Level 1 (capped): the quote establishes a journal venue but does not establish the peer-review status required for Level 2.
International Journal of Social Robotics (2023) 15:1755–1768 https://doi.org/10.1007/s12369-023-01042-9 Towards a Socio-Legal Robotics: A Theoretical Framework on Norms and Adaptive Technologies
Currency
2/2computed: newest date 2023-12-08 (via pdf-meta), ~2.9y old; within the 60-month academic_research window for perspective 'Academic' → 2