The AI Alignment Problem: Why It’s Hard, and Where to Start Eliezer Yudkowsky Machine Intelligence Research Institute May 5, 2016

First Page		Document Content
Date: 2017-01-30 22:06:06 Artificial intelligence Technology Motivation Metaphysics Game theory Futurology Philosophy of artificial intelligence Choice modelling Utility Expected utility hypothesis Intelligent agent Friendly artificial intelligence		The AI Alignment Problem: Why It’s Hard, and Where to Start Eliezer Yudkowsky Machine Intelligence Research Institute May 5, 2016 Add to Reading List Source URL: intelligence.org Download Document from Source Website File Size: 278,17 KB Share Document on Facebook

	Motivation Interleaving AVATAR DocID: 1xVYE - View Document
	Motivation Groundwork Distance-Tracking Automata DocID: 1xVEg - View Document
	PROJECT PAI MOTIVATION WHITEPAPER DECENTRALIZED, PEER-ENABLED AI IDENTITIES FOR THE AI ECONOMY DocID: 1xVjM - View Document
	Motivation Groundwork Algorithm DocID: 1xVdj - View Document
	Boosting the BGP Convergence in SDXes in SWIFT Philipp Mao, Rüdiger Birkner, Thomas Holterbach, Laurent Vanbever ETH Zürich 1. Motivation 2. SWIFT in a nutshell DocID: 1xUXo - View Document