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Record STMT-WEC19C1Voluntary

An Ethical Black Box for Social Robots: a draft Open Standard

Standard Institutional policyGlobaldraft

This paper introduces a draft open standard for an 'ethical black box' (EBB), which functions as a robot equivalent to an aircraft flight data recorder for securely recording operational data from social robots. The standard provides a technical specification for software modules to log sensor inputs, actuator demands, control decisions, and metadata to support accident investigations, debugging, and explainability. Offered as a Request for Comments (RFC), the draft invites feedback from the robot ethics and robotics research community.

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

Who issued it

Bristol Robotics LabAcademic · GB
Lead issuer
University of the West of EnglandAcademic · GB
Co-issuer
University of OxfordAcademic · GB
Co-issuer
Legal forceVoluntary
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

AI developers and providersRegulatorsAI deployers and usersResearchers and academics

Social robot designers, operators, and incident investigators seeking technical specifications for implementing data logging and explainability features.

Sectors
Research and science · robotics research and developmentCross-sector

What the document contains

What's covered

The document proposes a draft open technical standard for an ethical black box (EBB) software module for social robots. It specifies data structures, record types (meta data, data data, and robot data), checksum computations, and variable sampling frequencies for capturing operational parameters.

What's missing

Hardware specifications for physical EBB integration are outside the scope of the draft, and specific numeric values for robot decision codes are left entirely to manufacturers or operators.

Key takeaways
  • Social robots should be equipped with an ethical black box (EBB) to securely record operational data for accident and incident investigation.
  • An EBB acts as a passive, one-way data logger that captures sensor values, actuator demands, and internal decision-making processes.
  • Standardising the EBB enables sharing across different robot platforms, aids debugging, supports explainability functions, and encourages manufacturer adoption.
  • The proposed open standard is structured around three record types: Meta Data, Data Data, and Robot Data.
  • The draft is published as a Request for Comments (RFC) to gather feedback from the wider robotics and ethics community.
Principles it states
AvailabilityMaximize End-User ChoiceNo RoyaltyNo DiscriminationExtension or Subset
Outline
· Introduction
· A brief introduction to Data Loggers
· The Ethical Black Box
· Why do we need a standardised EBB?
· The Draft Open Standard
· Annex A: Draft Standard for an Ethical Black Box Software Module for Social Robots
Issued13 May 2022
Length4,566 words · 12 pages
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.

Fairness

0/5

Non-discrimination and equitable treatment

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

screening score · 2026-10-23

Transparency

4/5

Openness about how AI systems work and are used

An EBB can be used to support robot ‘explainability’ functions to allow, for instance, the robot to answer ‘Why did you just do that?’ questions from its user.

1 Introduction

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

screening score · 2026-10-23

Impact Assessment

0/5

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

screening score · 2026-10-23

Topics

ethical_black_box social_robotics transparency traceability open_standard