Which of the following BEST characterizes the 'alignment problem' in the context of advanced AI risk?
Select an answer to reveal the explanation.
Short Explanation
Here's the deal — the alignment problem is about AI systems chasing objectives that drift from what humans actually want, especially as they get more capable. You're worried about unintended, harmful optimization, not hardware specs, team structure, or label quality.
Full Explanation
The correct choice is the risk that AI systems pursue objectives that diverge from intended human values and goals, potentially in unexpected and harmful ways. The alignment problem is about ensuring AI systems reliably pursue human-intended objectives, including the risk that capable systems optimize proxies that diverge from actual human values and cause harm as capability scales. The hardware acceleration option is a hardware engineering concern. The AI team alignment option is an organizational management concern. The training label alignment option is a data quality/labeling concern.