To examine the ethical and legal challenges associated with the integration of algorithmic technologies in reproductive healthcare, emphasizing the need for a context-sensitive governance-oriented framework.
Key Findings:
Ethical and legal risks in reproductive health AI are heightened in restrictive settings, particularly affecting marginalized populations.
Existing governance frameworks inadequately address intersectional and structural vulnerabilities, leading to potential inequities.
A combined framework of Healthcare 5.0 and reproductive justice is essential for effective governance, requiring specific mechanisms for implementation.
Interpretation:
The integration of AI in reproductive healthcare necessitates a nuanced governance approach that prioritizes equity, autonomy, and the specific needs of affected populations, with active stakeholder engagement.
Limitations:
Current literature on AI ethics is largely generalized and lacks focus on reproductive health, with few examples of specific challenges.
Existing frameworks provide high-level principles but lack actionable guidance for specific contexts, limiting their applicability.
Conclusion:
A context-aware governance approach is crucial for ensuring responsible use of algorithmic technologies in reproductive healthcare, emphasizing the need for human oversight, accountability, and specific governance mechanisms.
