Record STMT-W42D3F0Advisory

Ethical implications of AI and robotics in healthcare: A review

Report State lawGlobaladopted

This review article explores the multifaceted ethical considerations surrounding the integration of artificial intelligence and robotics in healthcare settings. It examines key themes such as privacy, data security, algorithmic bias, transparency, accountability, and the impact on healthcare professionals and society. Finally, it outlines recommendations and best practices for responsible navigation and regulatory framework development.

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

Who issued it

Wolters Kluwer Health, Inc.Industry

Publisher

Legal forceAdvisory

Under whose authorityState law

Judged fromfull text

Who it governs

Researchers and academicsRegulatorsPublic sector bodiesCompanies

Researchers, healthcare practitioners, policymakers, and technologists seeking to understand and navigate the ethical landscape of AI and robotics in healthcare.

Sectors

Healthcare · healthcareResearch and science · medical research

What the document contains

What's covered

The document addresses the ethical, legal, and societal dimensions of using artificial intelligence and robotics in healthcare, covering data privacy, algorithmic fairness, accountability, professional impacts, and regulatory challenges.

What's missing

It lacks legally binding enforcement mechanisms, specific binding statutory legislation, and detailed technical specifications for software development.

Key takeaways

Integrating AI and robotics in healthcare offers significant benefits including enhanced diagnostics, precision medicine, and streamlined administration.
Protecting patient data through robust encryption and responsible data handling is paramount to maintain trust.
Algorithmic bias must be actively addressed using diverse datasets and continuous monitoring to prevent healthcare disparities.
Establishing clear accountability frameworks among manufacturers, healthcare institutions, and professionals is essential for managing errors.
Healthcare-specific and adaptable ethical guidelines are necessary to navigate the unique challenges of emerging technologies.

Principles it states

AutonomyBeneficenceNon-maleficenceJustice

Outline

· 1. Introduction
· 2. Objective of study
· 3. Review
  - 3.1. Benefits of AI and robotics in healthcare
· 4. Ethical considerations in AI and robotics
· 5. Ethical dimensions in greater detail: navigating the complex terrain of AI and robotics in healthcare
· 6. Impact on healthcare professionals
· 7. Societal implications
· 8. Regulatory and legal challenges
· 9. Ethical frameworks and guidelines
· 10. Conclusion

Issued15 December 2023

Length6,390 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.

Fairness

3/5

Non-discrimination and equitable treatment

Algorithmic bias poses a significant challenge, demanding diverse datasets and ongoing monitoring to ensure fairness.

Abstract

screening score · 2026-10-25

Human Dignity

3/5

Respect for the inherent worth of persons

These implications touch upon privacy, data security, accountability, transparency, fairness, and the preservation of human autonomy.

1. Introduction

screening score · 2026-10-25

Human Oversight

3/5

Humans remain in control of consequential decisions

Ethical considerations include optimizing the synergy between healthcare professionals and AI/robotic systems to leverage both strengths while preserving human expertise and oversight.

6.2. Collaboration between AI/robotics and healthcare professionals

screening score · 2026-10-25

Privacy

3/5

Protection of personal data and private life

Privacy and data security are paramount concerns, necessitating robust encryption and anonymization techniques to safeguard patient data.

Abstract

screening score · 2026-10-25

Transparency

3/5

Openness about how AI systems work and are used

Transparency and explainability in AI decision-making processes enhance trust and accountability.

Abstract

screening score · 2026-10-25

Enforcement

1/5

Consequences and compliance mechanisms with real force

Establishing accountability in AI and robotic systems is challenging but crucial.

4.5. Accountability and transparency

screening score · 2026-10-25

Impact Assessment

3/5

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

Evaluate the potential risks and benefits of AI and robotics in healthcare ethically, considering the impact on patients, healthcare professionals, and the broader healthcare system.

2. Objective of study

screening score · 2026-10-25

Topics

Physical AI Governancesupporting

artificial_intelligence healthcare ethics privacy_and_data_security algorithmic_bias