Record STMT-W2774E3Advisory

Robot Policing, Who will be Responsible for the Robotpolice's Ethical use on Making Decision? (Consideration of the Ethical Framework)

Position paper State lawEastern Asia · KRin force

This academic article examines the ethical and legal implications of introducing robot police and AI-driven decision-making tools in law enforcement. It discusses algorithmic bias, black-box challenges, and the need for a robust ethical framework, legislation, and public trust to ensure responsible AI usage in public safety. The study reviews international case studies and frameworks to propose countermeasures for equitable and transparent policing.

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

Who issued it

Dong-A UniversityAcademic · KR

Publisher

Legal forceAdvisory

Under whose authorityState law

Judged fromfull text

Who it governs

Researchers and academicsGeneral publicNational governmentRegulators

Researchers, policymakers, and legal professionals studying the intersection of artificial intelligence, robotics, and law enforcement ethics.

Sectors

Defence and security · police law enforcementJustice · criminal justiceResearch and science · academic research

What the document contains

What's covered

The article covers the integration of AI and robots in police operations, associated legal statuses and liabilities, algorithmic bias cases such as COMPAS and facial recognition errors, and the components necessary for a responsible AI ethical framework.

What's missing

Not stated.

Key takeaways

The introduction of robot police and AI in law enforcement offers operational advantages but raises serious concerns regarding human rights, coercion, and algorithmic bias.
Black-box algorithms and unsupervised machine learning can exacerbate social inequalities, digital redlining, and racial prejudice.
Current legal frameworks frequently lack provisions to adequately define robots as legal subjects or manage the product liability of autonomous systems.
Establishing an effective ethical framework requires combining technical standards, strict regulations, and active public communication to secure citizen trust.

Principles it states

Respect for human dignity and universal human rightsTransparency and explainability in algorithmic decision-makingNon-discriminatory and fair law enforcementResponsible innovation and accountability in AI development

Outline

· Abstract
· Introduction
· II. The Future Vision of Police
· III. Legal Status and Ethical Concerns of RobotPolice
· IV. Algorithms and Bias
· V. Responsible AI: Ethical Framework
· VI. Conclusion

Issued31 July 2023

Length9,812 words

FormatNot recorded

Scopenational

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

3/5

Clear responsibility for AI outcomes

And if there is a manufacturer’s responsibility, not an operational problem, it will proceed to product responsibility.

III. Legal Status and Ethical Concerns of RobotPolice

screening score · 2026-10-24

Fairness

3/5

Non-discrimination and equitable treatment

In the context of decision-making, fairness refers to the absence of prejudice or favoritism toward individuals or groups, but unfair algorithmic decisions can be biased toward specific groups.

Abstract

screening score · 2026-10-24

Human Dignity

3/5

Respect for the inherent worth of persons

If so, giving the police the authority to kill community members remotely violates human dignity, and what can be explained as the justification for this?

II. The Review: The Usefulness of the Robotpolice

screening score · 2026-10-24

Human Oversight

3/5

Humans remain in control of consequential decisions

First, to what extent should humans be involved in the use of robotic police? Second, how much the governmental authority will we allow for robot police?

Introduction

screening score · 2026-10-24

Privacy

2/5

Protection of personal data and private life

A major barrier to the acceptance of robot police is public fears about the appropriate ethical standards of robotic services, which require compromise with citizens' rights to privacy, autonomy, transparency, and democratic principles included by14 IEEE standards

V. Responsible AI: Ethical Framework

screening score · 2026-10-24

Transparency

3/5

Openness about how AI systems work and are used

In the view of Future Vision 2050 in National Police Agency in Koean, the usage of AI should be consistent with the vision of transparent and responsible policing.

Introduction

screening score · 2026-10-24

Enforcement

3/5

Consequences and compliance mechanisms with real force

Therefore, if the interpretation is not complete in our current legal system, it needs to be reorganized through new legislation, and through this, the exact scope of responsibility and legal status of AI robot police

III. Legal Status and Ethical Concerns of RobotPolice

screening score · 2026-10-24

Impact Assessment

3/5

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

On the other hand, if there is no proactive response, considerable side effects occur, so it is proposed that AI technology can be used in a more desirable way through continuous monitoring as an ethical impact assessment and follow-up measure before the use of the AI system.

IV. Algorithms and Bias

screening score · 2026-10-24

Topics

robot_police responsible_ai algorithmic_bias law_enforcement ethical_framework