Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem
Cecchini et al
One-Sentence Thesis
The goal of AI value alignment is to ensure that powerful AI is properly aligned with human values, which requires addressing both technical and normative aspects of the alignment challenge.
Argument Outline
- 1Introduction to AI alignment and its challenges
- 2The relationship between technical and normative aspects of AI alignment
- 3The goal of alignment and different approaches to aligning AI with human values
- 4The challenge of identifying fair principles for AI alignment in a pluralistic world
Key Distinctions
Technical vs. normative aspects of AI alignment
Minimalist vs. maximalist conceptions of value alignment
Consequentialist vs. non-consequentialist moral theories
Key Terms
Artificial Intelligence (AI)
Value Alignment
Reinforcement Learning (RL)
Flashcards
19 cardsRelated Questions
In Cecchini et al's "Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem", Cohen supports which of the following?
In Cecchini et al's "Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem", Dworkin defines which of the following?
In Cecchini et al's "Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem", Eckersley, P. criticizes which of the following?
In Cecchini et al's "Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem", Dennett mentions which of the following?
In Cecchini et al's "Aligning artificial intelligence with moral intuitions: an intuitionist approach to the alignment problem", Greene defines which of the following?
What is the primary challenge in AI alignment?