What defines the alignment problem in AI ethics?

The alignment problem in AI ethics primarily focuses on ensuring that the actions and decisions made by AI systems are in harmony with human values and preferences. This is challenging because human values can be complex, diverse, and sometimes ambiguous, which makes it difficult to translate them into actionable rules or guidelines for AI systems. The goal is to develop AI that not only performs tasks effectively but also reflects ethical considerations and respects societal norms, particularly when those values may vary between different individuals or cultures.

The other options do not align with the core of the alignment problem. For example, operating AI with unfettered speed overlooks the ethical consideration of how AI should act responsibly and beneficially in society. Creating AI devoid of human oversight raises concerns about accountability and safety, which are critical to ethical AI deployment. Developing AI with no ethical considerations at all stands in direct opposition to the very purpose of addressing the alignment problem, which seeks to integrate ethical thinking into AI development. Thus, the focus on compliance with the often ambiguous nature of human values is what accurately captures the essence of the alignment problem.