Back to the database
Record STMT-W8B13A8Advisory

ASME Student Design Challenge; When Machines Decide: Ethical and Regulatory Challenges in Autonomous Robotic Governance

Report Institutional policyNorthern America · USunknown

This student research paper examines the ethical and regulatory challenges of autonomous robotic governance through a case study on designing a waste collection robot. The author analyzes gaps in current legal frameworks regarding accountability and discusses how proactive governance and ethical development can mitigate risks associated with deploying autonomous systems in public spaces. The work highlights the limitations of reactive regulations and advocates for embedding governance mechanisms directly into the engineering design process.

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

Who issued it

University of VirginiaAcademic
Publisher
Legal forceAdvisory
Under whose authorityInstitutional policy
Judged fromfull text

Who it governs

Researchers and academicsGeneral publicRegulatorsAI developers and providers

Researchers, developers, and policymakers interested in the intersection of autonomous robotics engineering, accountability gaps, and ethical governance.

Sectors
Research and science · autonomous robotics researchOther · waste management

What the document contains

What's covered

The document covers a student research project combining a technical design for an autonomous waste collection robot with a science, technology, and society (STS) analysis of legal and ethical challenges in autonomous robotic governance.

What's missing

The document does not provide binding statutory regulations, official enforcement mechanisms, or formal institutional policies for industry-wide compliance.

Key takeaways
  • Autonomous robotics face accountability gaps due to outdated, human-centered liability models.
  • Current governance frameworks are largely reactive, implementing regulations only after harmful incidents occur.
  • A versatile waste management robot was successfully designed to navigate complex terrains and sort materials.
  • Future engineering processes must embed ethical development practices and anticipatory governance from the beginning.
Outline
· Abstract and Introduction
· Technical Research: Waste Collection Device Design
· STS Research: Legal and Ethical Frameworks
· Discussion and Limitations
· Acknowledgements
Issued7 May 2026
Length951 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

My STS research examines how gaps in legal and ethical frameworks allow harmful outcomes to occur without clear accountability following the integration of autonomous robotics in society.

Abstract

screening score · 2026-10-23

Fairness

0/5

Non-discrimination and equitable treatment

Abstract

screening score · 2026-10-23

Human Dignity

0/5

Respect for the inherent worth of persons

Abstract

screening score · 2026-10-23

Human Oversight

0/5

Humans remain in control of consequential decisions

Abstract

screening score · 2026-10-23

Privacy

0/5

Protection of personal data and private life

Abstract

screening score · 2026-10-23

Transparency

0/5

Openness about how AI systems work and are used

Abstract

screening score · 2026-10-23

Enforcement

0/5

Consequences and compliance mechanisms with real force

Abstract

screening score · 2026-10-23

Impact Assessment

3/5

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

My STS research investigates how accountability failures with autonomous robotics, due to gaps in legal and regulatory frameworks and lenient development guidelines, can lead to public distrust and potential harm.

Abstract

screening score · 2026-10-23

Topics

autonomous_robotics accountability ethical_challenges regulatory_frameworks waste_management