C-054Value Alignment and AI EthicsConfidence: Medium
, et al
Metcalf, J (2019)
One-Sentence Thesis
Silicon Valley technology companies are 'institutionalizing' AI ethics — creating internal ethics teams, publishing principles, and deploying ethics frameworks — in ways that serve corporate interests rather than genuinely constraining harmful AI development. This institutionalization follows a distinctive 'corporate logic' that transforms ethics from an external constraint or critical practice into a brand differentiator, an internal compliance function, and a public relations asset.
Argument Outline
- 1Introduction to the concept of value alignment and its importance in AI ethics
- 2Discussion of the challenges in aligning AI systems with human values, including the complexity of human values and the limitations of current AI systems
- 3Presentation of a framework for value alignment, including the identification of key human values and the development of AI systems that can understand and implement these values
- 4Analysis of the potential benefits and challenges of implementing value alignment in AI systems, including the potential for improved decision-making and the risk of bias and error
- 5Discussion of the role of human oversight and feedback in ensuring that AI systems are aligned with human values
- 6Conclusion and future directions for research on value alignment in AI ethics
Key Distinctions
The distinction between 'intrinsic' and 'extrinsic' value alignment, where intrinsic alignment refers to the alignment of AI systems with human values for their own sake, and extrinsic alignment refers to the alignment of AI systems with human values for the sake of achieving some other goal
The distinction between 'narrow' and 'broad' value alignment, where narrow alignment refers to the alignment of AI systems with specific human values, and broad alignment refers to the alignment of AI systems with a wide range of human values
The distinction between 'procedural' and 'substantive' value alignment, where procedural alignment refers to the alignment of AI systems with human values through the use of specific procedures or methods, and substantive alignment refers to the alignment of AI systems with human values through the use of specific content or substance
Key Terms
Value alignment
The process of ensuring that AI systems behave in ways that are consistent with human values and morals
Human values
The principles and standards that guide human behavior and decision-making, such as fairness, respect, and kindness
AI ethics
The study of the ethical implications of AI systems, including issues related to value alignment, fairness, and transparency
Flashcards
10 cardsRelated Questions
4
What is the primary difference between 'intrinsic' and 'extrinsic' value alignment in the context of AI ethics?