The relationship between professional and general ethics in generative AI

Recent research highlights a growing conflict between general ethical values and the ethics of professional practice in the context of AI alignment, particularly with the proliferation of practice-specific AI systems in sectors like law, medicine, and translation. The discrepancy stems from AI ethics research and policy recommendations often assuming a universal set of ethical values, while real-world AI applications are manifesting ethics tailored to specific professional domains. This presents a conceptual and practical challenge that current literature acknowledges but has not yet resolved.

Why it matters

This divergence between generalized AI ethics and domain-specific professional ethics poses a significant challenge to the responsible development and deployment of AI. It necessitates a nuanced approach to AI governance and design to ensure that AI systems align with both societal values and the integrity of specialized professions.

Key insights

• A widening gap exists between general ethical assumptions in AI alignment research and the specific professional ethical frameworks emerging in practice-specific AI applications.
• Practice-specific AI uses, such as in legal, medical, and translation domains, are increasingly demonstrating professional ethics rather than general ethical values.
• The conflict between general and professional ethics in contemporary AI systems is intensifying.
• Current research literature acknowledges this conceptual and practical challenge but has not provided a resolution.
• The article aims to conceptualize the key dimensions of AI models' decision-making within professional practice areas.

Source

arXiv — Computers and Society — https://arxiv.org/abs/2608.29306