πŸ”¬

Toward a Theory of Justice for Artificial Intelligence

πŸ“… 2021
technical research breakthrough
πŸ”΅ Rare

πŸ“– Description

218 ? 2022 by the American Academy of Arts & Sciences Published under a Creative Commons Attribution- NonCommercial 4.0 International (CC BY -NC 4.0) license https://doi.org/10.1162/DAED_a_01911Toward a Theory of Justice for Artificial Intelligence Iason Gabriel This essay explores the relationship between artificial intelligence and principles of distributive justice. Drawing upon the political philosophy of John Rawls, it holds that the basic structure of society should be understood as a composite of sociotech- nical systems, and that the operation of these systems is increasingly shaped and in- fluenced by AI. Consequently, egalitarian norms of justice apply to the technology when it is deployed in these contexts. These norms entail that the relevant AI systems must meet a certain standard of public justification, support citizens? rights, and promote substantively f air outcomes, something that requires particular attention to the impact they have on the worst-of f ...

πŸ“Š Game Impacts

Not verified in game

Which variables this event was proposed to move, and in which direction. The magnitudes are held in the corpus but are not shown here, because they have not been verified against the shipped game. They come from pdoom-data. They describe what an event was proposed to do, not what the shipped game does with it. Most events in the corpus are flavour: they are shown for colour and do not move any game variable. Only a small minority reach the systems below, and several of the variables listed here are not read by the game at all yet. Treat this table as a design proposal under review, not as a measurement of play. Corrections and arguments are welcome — the suggestion links at the foot of this page go straight to the data repo.

Variable Direction Condition
Research proposed: up Always
Papers proposed: up Always
Vibey Doom proposed: up Always

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🏷️ Event Metadata

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