Nine Ways to Bias Open‐Source Artificial General Intelligence Toward Friendliness

In Russell Blackford & Damien Broderick (eds.), Intelligence Unbound. Wiley. pp. 61–89 (2014-08-11)
  Copy   BIBTEX

Abstract

This chapter discusses nine ways to bias open‐source artificial general intelligence (AGI) toward friendliness. There is no way to guarantee that advanced AGI, once created and released into the world, will behave according to human ethical standards. The primary objective of the chapter is to suggest some potential ways to do so. First it discusses an engineer the capability to acquire integrated ethical knowledge, and provides rich ethical interaction and instruction, respecting developmental stages. The chapter creates stable, hierarchy‐dominated goal systems, and ensures that the early stages of recursive self‐improvement occur relatively slowly and with rich human involvement. It tightly links AGI with the Global Brain, and focuses on foster deep, consensus‐building interactions and commensurability between divergent viewpoints. The chapter creates a mutually supportive community of AGIs, and encourages measured co‐advancement of AGI software and AGI ethics theory. Finally it develops advanced AGI sooner.

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 92,471

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Nine Ways to Bias Open-Source AGI Toward Friendliness.Ben Goertzel & Joel Pitt - 2011 - Journal of Evolution and Technology 22 (1):116-131.
Risks of artificial general intelligence.Vincent C. Müller (ed.) - 2014 - Taylor & Francis (JETAI).
Two arguments against human-friendly AI.Ken Daley - 2021 - AI and Ethics 1 (1):435-444.
Editorial: Risks of general artificial intelligence.Vincent C. Müller - 2014 - Journal of Experimental and Theoretical Artificial Intelligence 26 (3):297-301.
Intelligence, Artificial and Otherwise.Paul Dumouchel - 2019 - Forum Philosophicum: International Journal for Philosophy 24 (2):241-258.

Analytics

Added to PP
2023-06-15

Downloads
8 (#1,324,759)

6 months
5 (#649,106)

Historical graph of downloads
How can I increase my downloads?

Citations of this work

No citations found.

Add more citations

References found in this work

No references found.

Add more references