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AI Research
arXiv CS.AI·Jun 15·5 min read
Position: Align AI to Our Aspirations, Not Our Flaws
TL;DR
Current AI alignment efforts focus on matching AI to diverse human values, which can lead to problematic outcomes. Instead, the authors propose a framework that emphasizes objective alignment goals, such as factual accuracy and lawfulness, while allowing for pluralism in surface-level expressions.
✦ Why It Matters
Engineers can design AI systems that prioritize ethical standards over diverse but potentially harmful human values.
Key Takeaways
- Focus AI alignment on objective goals, not diverse human values.
- Establish a baseline of competence and factual accuracy for AI systems.
- Incorporate pluralism in expression while maintaining alignment integrity.
- Address commercial and regulatory challenges in AI alignment strategies.
How It Works
The proposed framework for AI alignment emphasizes a foundational set of goals that AI systems must adhere to, such as competence and factual accuracy. This approach allows for a diverse range of expressions and value trade-offs while ensuring that the core principles of honesty and lawfulness are not compromised.