Suppose you believe AGI (or superintelligence) will be created in the future. In that case, you should also acknowledge its super capabilities in addressing EA problems like global health and development, pandemics, animal welfare, and cause prioritization decision-making.
Suppose you don't believe superintelligence is possible. In that case, you can continue pursuing other EA problems, but if you do believe superintelligence is coming, then why are you spending time and money on issues that will likely all be solved by AI, assuming superintelligence comes aligned with human values?
I've identified a few potential reasons why people continue to devote their time and money to non-AI-related EA causes:
- You aren't aware of the potential capabilities of superintelligence.
- You don't think that superintelligence will arrive for a long time, or you remain uncertain about a timeline.
- You're passionate about a particular cause, and superintelligence doesn't interest you.
- You believe that present suffering matters intrinsically, and that the suffering occurring now has a moral weight that can't be dismissed.
- You might even think that superintelligence won't be able to address particular problems.
It's widely believed (at least in the AI safety community) that the development of sufficiently advanced AI could lead to major catastrophes, a global totalitarian regime, or human extinction, all of which seem to me to be more pressing and critical than any of the above reasons for focusing on other EA issues. I post this because I'd like to see more time and money allocated to AI safety, particularly in solving the alignment problem through automated AI labor (since I don't believe human labor can solve it anytime soon, but that's beyond the scope of this post).
So, do any of the reasons presented above apply to you? Or do you have different reasons for not focusing on AI risks?
There is a distinction between "control" and "alignment. "
The control problem addresses our fundamental capacity to constrain AI systems, preventing undesired behaviors or capabilities from manifesting, regardless of the system's goals. Control mechanisms encompass technical safeguards that maintain human authority over increasingly autonomous systems, such as containment protocols, capability limitations, and intervention mechanisms.
The alignment problem, conversely, focuses on ensuring AI systems pursue goals compatible with human values and intentions. This involves developing methods to specify, encode, and preserve human objectives within AI decision-making processes. Alignment asks whether an AI system "wants" the right things, while control asks whether we can prevent it from acting on its wants.
I believe AI is soon to have wants, and it's critical to align those wants with increasingly capable AIs.
As far as I'm concerned I don't see humanity not eventually creating superintelligence and thus it should be the main focus of EA and other groups concerned with AI. As I mentioned in another comment I don't have many ideas for how the average EA person can do this aside from making a career change into AI policy or something similar.