Open thread, Nov. 24 - Nov. 30, 2014

MrMind

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If it's worth saying, but not worth its own post (even in Discussion), then it goes here.

Notes for future OT posters:

1. Please add the 'open_thread' tag.

2. Check if there is an active Open Thread before posting a new one. (Immediately before; refresh the list-of-threads page before posting.)

3. Open Threads should be posted in Discussion, and not Main.

4. Open Threads should start on Monday, and end on Sunday.

This may be a naive question, which has a simple answer, but I haven't seen it. Please enlighten me.

I'm not clear on why an AI should have a utility function at all.

The computer I'm typing this on doesn't. It simply has input-output behavior. When I hit certain keys it reacts in certain, very complex ways, but it doesn't decide. It optimizes, but only when I specifically tell it to do so, and only on the parameters that I give it.

We tend to think of world-shaping GAI as an agent with it's own goals, which it seeks to implement. Why can't it be more like a computing machine in a box. We could feed it questions, like "given this data, will it rain tomorrow?", or "solve this protein folding problem", or "which policy will best reduce gun-violence?", or even "given these specific parameters and definitions, how do we optimize for human happiness?" For the complex answers like the last of those, we could then ask the AI to model the state of the world that results from following this policy. If we see that it leads to tiling the universe with smiley faces, we know that we made a mistake somewhere (that wasn't what we were trying to optimize for), and adjust the parameters. We might even train the AI over time, so that it learns how to interpret what we mean from what we say. When the AI models a state of the world that actually reflects our desires, then we implement it's suggestions ourselves, or perhaps only then hit the implement button, by with the AI takes the steps to carry out it's plan. We might even use such a system to check the safety of future generations of the AI. This would slow recursive self improvement, but it seems it would be much safer.

This is actually one of the standard counterarguments against the need for friendly AI, at least against the notion that is should be an agent / be capable of acting as an agent.

I'll try to quickly summarize the counter-counter arguments Nick Bostrom gives in Superintelligence. (In the book, AI that is not agent at all is called tool AI. AI that is an agent but cannot act as one (has no executive power in the real world) is called oracle AI.)

Some arguments have already been mentioned:

Tool AI or friendly AI without executive power cannot stop the world f

... (read more)

0ChristianKl11y

If you use a spell checking engine while you are typing that likely has an utility function buried in it's code.

7Wes_W11y

First, there's the political problem: if you can build agent AI and just choose not to, this doesn't help very much when someone else builds their UFAI (which they want to do, because agent AI is very powerful and therefore very useful). So you have to get everyone on board with the plan first. Also, having your superintelligent oracle makes it much easier for someone else to build an agent: just ask the oracle how. If you don't solve Friendliness, you have to solve the incentives instead, and "solve politics" doesn't look much easier than "solve metaethics." Second, the distinction between agents and oracles gets fuzzy when the AI is much smarter than you. Suppose you ask the AI how to reduce gun violence: it spits out a bunch of complex policy changes, which are hard for you to predict the effects of. But you implement them, and it turns out that they result in drastically reduced willingness to have children. The population plummets, and gun violence deaths do too. "Okay, how do I reduce per capita gun violence?", you ask. More complex policy changes; this time they result in increased pollution which disproportionately depopulates the demographics most likely to commit gun violence. "How do I reduce per capita gun violence without altering the size or demographic ratios of the population?" Its recommendations cause a worldwide collapse of the firearms manufacturing industry, and gun violence plummets, along with most metrics of human welfare. If you have to blindly implement policies you can't understand, you're not really much better off than letting the AI implement them directly. There are some things you can do to mitigate this, but ultimately the AI is smarter than you. If you could fully understand all its ideas, you wouldn't have needed to ask it. Does this sound familiar? It's the untrustworthy genie problem again. We need a trustworthy genie, one that will answer the questions we mean to ask, not just the questions we actually ask. So we need an orac