Leveraging Artificial Intelligence for Ethical Design Decision-Making: Philosophical Perspectives on Technical Integration, Value Proposition, and Implementation Challenges
DOI:
https://doi.org/10.64504/big.d.v3i3.790Keywords:
Design Ethics, Artificial Intelligence, Ethical Decision-Making, Explainable AI (XAI), Retrieval-Augmented Generation, EngineeringAbstract
Ethical considerations are paramount in modern engineering design, yet designers often lack systematic tools for navigating complex ethical dilemmas. This paper proposes an AI-driven system, the Ethical Deliberation Assistant (EDA), to enhance ethical decision-making in design. The EDA integrates advanced technical strategies, including prompt engineering, Retrieval-Augmented Generation (RAG), and fine-tuning of Large Language Models (LLMs), with established ethical frameworks. Our technical framework details the system architecture and implementation, focusing on quantifiable metrics for ethical assessment. Experimental evaluation demonstrates that the EDA significantly improves the consistency and accuracy of ethical evaluations, achieving an 86% accuracy rate compared to expert judgments and reducing analysis time by 90%. This system provides structured ethical guidance, broadens access to ethical expertise, and fosters a more reflective and efficient design practice, addressing critical engineering challenges in responsible AI development.
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