C-052Value Alignment and AI EthicsConfidence: Medium
M
Wandrey, M (2025)
One-Sentence Thesis
Policy decisions about animal and AI sentience — which beings receive legal protection, welfare consideration, or moral status — inevitably embed value judgments that are not determined by scientific evidence alone. Current policy tends to treat sentience as a purely scientific question (present or absent, established by behavioral and physiological evidence), when in fact the threshold for attributing sentience, the weight given to different types of evidence, and the policy consequences of attribution all reflect contested value commitments.
Argument Outline
- 1Introduction to the concept of value alignment and its importance in AI ethics
- 2Analysis of the challenges in defining and implementing human values in AI systems
- 3Examination of the role of moral philosophy in informing value alignment in AI
- 4Discussion of the potential consequences of misaligned values in AI systems
- 5Proposal of a framework for value alignment that incorporates human values and moral principles
- 6Consideration of the implications of value alignment for the development of autonomous AI systems
Key Distinctions
The distinction between implicit and explicit value alignment in AI systems
The difference between value specification and value learning in AI
The contrast between human-centered and AI-centered approaches to value alignment
Key Terms
Value alignment
The process of ensuring that AI systems' goals and behaviors are consistent with human values and moral principles
Moral philosophy
The branch of philosophy that deals with questions of right and wrong, good and bad, and moral obligations
Autonomous AI systems
AI systems that can make decisions and act independently without human intervention
Flashcards
9 cardsRelated Questions
4
What is the primary challenge in achieving value alignment in AI systems, according to the author's argument?