Bioethics Artificial Intelligence Advisory (BAIA): An Agentic Artificial Intelligence (AI) Framework for Bioethical...

Area of Science:

• Bioethics
• Artificial Intelligence
• Clinical Decision Support

Background:

• Healthcare professionals experience moral distress due to complex ethical dilemmas in clinical settings.
• Ethical challenges include end-of-life care, informed consent, and surrogate decision-making.

Purpose of the Study:

• Introduce the Bioethics Artificial Intelligence Advisory (BAIA) framework.
• Leverage artificial intelligence (AI) to support clinical ethical decision-making.
• Reduce moral distress among healthcare providers.

Main Methods:

• Integrate principlism, casuistry, and narrative ethics with AI capabilities.
• Employ structured methodology: data collection, paradigmatic case review, "mattering maps," and scenario-based reasoning.
• Demonstrate BAIA's potential through analysis of end-of-life care and conjoined twins cases.

Main Results:

• BAIA harmonizes diverse ethical perspectives.
• BAIA reduces the moral burden on healthcare providers.
• Agentic architecture allows integration with existing ethical AI systems (METHAD, Delphi, EAIFT) for collaboration.

Conclusions:

• BAIA represents a significant step in combining agentic AI with bioethical principles.
• Improves quality and consistency of clinical ethical decision-making.
• Mitigation strategies for limitations (bias, data quality) include standardized databases, fairness algorithms, and human oversight.