arXiv:2605.27373v1 Announce Type: new Abstract: As intelligent systems become more autonomous, the scientific community focuses on creating decision-making mechanisms that include ethical and moral considerations, unlike traditional utility-maximisation models. To achieve this, a key aspect is assessing how well these decisions align with human values. To this end, a promising line of research is centred on developing approaches based on Large Language Models (LLMs) to identify human values from text, whether explicit or implicit, enabling their recognition throughout. This paper introduces a
As AI systems become more autonomous and integrated into critical decision-making, the urgency to align their actions with human values increases to prevent unintended ethical breaches.
This research is crucial for ensuring that the development of advanced AI leads to beneficial outcomes, fostering trust and preventing societal friction as AI agents gain more autonomy.
The ability to systematically identify and incorporate human values into AI decision-making processes shifts AI development from purely utility-maximisation to ethically-aligned autonomy.
- · AI ethics researchers
- · Developers of autonomous AI systems
- · Organisations needing explainable and ethical AI
- · Societies adopting advanced AI
- · AI developers ignoring ethical alignment
- · Regulatory bodies unprepared for value-aligned AI
- · Companies relying solely on traditional utility functions for AI
The adoption of LLM-based architectures for value identification will become a standard practice in developing advanced AI.
AI systems will exhibit more nuanced and context-aware ethical behavior, leading to reduced incidents of biased or controversial decisions.
Public confidence in advanced AI will increase, accelerating AI integration into sensitive sectors and possibly influencing future regulatory frameworks.
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Read at arXiv cs.AI