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Record STMT-WA0B185Advisory

The Future of Socially Assistive Robotics: Considering an Exploratory Governance Framework (EGF)

White paper UnknownGlobalunknown

This academic paper explores an Exploratory Governance Framework (EGF) for managing socially assistive robotics (SAR) within smart cities and living environments. It contrasts centralized top-down governance with self and peer regulatory approaches, incorporating concepts of technology coevolution and design considerations. The research aims to balance perspectives on regulatory options for innovative technologies and services.

Summary and content fields are drawn from the document text and are pending editorial review.

Who issued it

SpringerIndustry
Publisher
Legal forceAdvisory
Under whose authorityUnknown
Judged fromfull text

Who it governs

Researchers and academicsRegulatorsAI developers and providersAI deployers and users

Researchers and policymakers interested in the governance, regulation, and ethical deployment of socially assistive robotics.

Sectors
Research and science · Socially Assistive RoboticsHealthcare · assistive robotics

What the document contains

What's covered

The document discusses an exploratory governance framework applied to socially assistive robotics, comparing centralized top-down governance approaches with self and peer regulatory options. It examines the coevolution of technology and governance alongside design considerations for modern services.

What's missing

The text does not provide binding legal regulations, specific enforcement mechanisms, or formal legislative definitions.

Key takeaways
  • Centralized top-down governance and self/peer governance represent two major contrasting approaches for managing innovative technologies like smart cities and living.
  • Socially Assistive Robotics (SAR) requires exploring interactions between technology and users to manage consequences effectively.
  • An Exploratory Governance Framework (EGF) offers a potential option for managing future innovative services and technologies in the narrow domain of SAR.
  • The framework incorporates concepts of technology-governance coevolution and design considerations to impact technology development.
Outline
· Abstract
· Introduction and Background
· Exploratory Governance Framework (EGF) Discussion
· References
Issued10 October 2019
Length1,082 words
FormatNot recorded
Scopeglobal

How it scores

Pending review

Each score is backed by a quote verified against the document text. Editorial review has not yet confirmed them.

Accountability

0/5

Clear responsibility for AI outcomes

Abstract

screening score · 2026-10-24

Fairness

0/5

Non-discrimination and equitable treatment

Abstract

screening score · 2026-10-24

Human Dignity

0/5

Respect for the inherent worth of persons

Abstract

screening score · 2026-10-24

Human Oversight

0/5

Humans remain in control of consequential decisions

Abstract

screening score · 2026-10-24

Privacy

0/5

Protection of personal data and private life

Abstract

screening score · 2026-10-24

Transparency

0/5

Openness about how AI systems work and are used

Abstract

screening score · 2026-10-24

Enforcement

0/5

Consequences and compliance mechanisms with real force

Abstract

screening score · 2026-10-24

Impact Assessment

1/5

Required assessment of an AI system's risks/impacts before or during use

As in all modern innovative measures, the consequences of Socially Assistive Robotics (SAR), its interactions between technology and users need to be explored.

Abstract

screening score · 2026-10-24

Topics

Physical AI Governancecontext
robotics governance_framework coevolution smart_cities innovation
The Future of Socially Assistive Robotics: Considering an Exploratory Governance Framework (EGF) · CEI AI Governance Database