Accelerating Artificial Intelligence: Exploring the Implications of Xenoaccelerationism and Accelerationism for AI and Machine Learning

Dissertation, University of Hawaii (2023)
  Copy   BIBTEX

Abstract

This article analyzes the potential impacts of Xenoaccelerationism and Accelerationism on the development of artificial intelligence (AI) and machine learning (ML). It examines how these speculative philosophies, which advocate technological acceleration and integration of diverse knowledge, may shape priorities and approaches in AI research and development. The risks and benefits of aligning AI progress with accelerationist values are discussed.

Links

PhilArchive

External links

  • This entry has no external links. Add one.
Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Ethical Machines?Ariela Tubert - 2018 - Seattle University Law Review 41 (4).
Philosophy and machine learning.Paul Thagard - 1990 - Canadian Journal of Philosophy 20 (2):261-76.
Machine Learning.Paul Thagard - 2017 - In William Bechtel & George Graham (eds.), A Companion to Cognitive Science. Oxford, UK: Blackwell. pp. 245–249.

Analytics

Added to PP
2023-09-10

Downloads
423 (#47,083)

6 months
285 (#7,779)

Historical graph of downloads
How can I increase my downloads?

Author's Profile

Citations of this work

No citations found.

Add more citations