An Al Ethical Decision-Making Model in Human-Computer Collaborative Design:Balanced Optimization Based on Explaina-bility,Fairness,and Responsibility
The application of artificial intelligence(Al)in the design field has triggered a series of ethical decision-making dilemmas,such as the inexplicability of machine behavior,unfair decisions caused by algorithmic bias,and the ambiguity of human-machine responsibility boundaries.To address these challenges,it is imperative to construct an AI ethical decision-making model that balances explicability,fairness,and responsibility.Explicability enhances trust in human-machine collaborative design,fairness ensures justice in design decisions,and responsibility promotes the sharing of duties between humans and machines.These three elements are intertwined,forming the"trinity"of Al ethical decision-making.Based on the concept of dynamic equilibrium,an Al ethical decision-making model for human-machine collaborative design can be constructed through value embedding,multi-objective optimization,and human-machine interaction.This model is rooted in the dynamic balance of the three elements,making differentiated decisions for various contexts,reflecting theoretical innovations from static to dynamic,from single to multiple,and from external to internal.It will reshape design value orientations,explore new dimensions of design ethics,improve governance systems,enhance ethical compliance,optimize processes,and innovate paradigms in scenarios such as intelligent design assistants and autonomous design systems,ultimately achieving the vision of human-machine symbiosis in design ethics.
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