AI Policies Wiki

We seek to propose and evaluate policies on near-human-level and smarter-than-human artificial intelligence.

Anyone is welcome to participate (the password required before editing this site is merely intended to stop link spammers who were vandalizing this site).

Background

Evaluating policies

At this stage, it is important not to advocate any one policy, but to explore the range of policy options available. No one policy appears to offer a panacea, but together multiple policies might form a framework that is able to help appropriately shape or control advanced AI.

Cost-effectiveness

A preliminary cost-effectiveness sort of the different policies is:

cheap/easy

expensive/hard

highly effective

ValueAlignment
BasicIncome

ResearchFunding
Lobby
ControlAccess
MetaResearch

Safety
Box
Patent
Regulate

NationalGoal
OpenResearch

weakly effective

ResearchNorms
ClearingHouse
ThreatLevelFramework
ThreeLawsOfRobotics

KillerRobots
Nationalize
Reporting
Tax
Accelerate

These rankings are likely to change in the future as more information comes to hand. E.g. it isn't certain whether either ControlAccess or OpenResearch helps or harms. It is partially a question of framing. Is it worth taking a risk that the world goes boom sooner, in order to reduce the risk of the world going boom overall? The answer depends on how likely you think the world will ultimately go boom, and how you value future lives.

Documents


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AI Policies Wiki: FrontPage (last edited 2016-09-23 23:03:11 by GordonIrlam)