Artificial Intelligence and Society

This repository documents my (totally incomplete) exploration of the philosophy of ethics and society with a particular interest in the future role of artificial intelience. This will include both near-term and long-term future issues. The content is based on my reading, research, thought, coursework,

This repository is a perpetual work in progress. If we're lucky, one day it might become a website, or even a book (haha, sure). But seriously, if you want specific resources or progress or if you have questions, just raise an issue.

Repository guide:

• [WIP] Resources (below): A collection of resources and links related to the topics of this project. Includes notable readings, other reading and resource lists, etc.

• COMP90087 The Ethics of Artificial Intelligence: Unimelb's COMP90087 is an introduction to current issues in AI and society, framed using introductory moral philosophy. I joined the teaching team in the innaugural semester (2021). Here you can find some information about the subject and staff, the official syllabus, and a complete list of readings!

• [WIP] AGI Safety Fundamentals: A fellowship (more of a reading group) from EA Cambridge, on research into the safety of generally intelligent AI systems. Here, find readings, and possibly some of my notes if I decide to take some throughout the program. The readings are already available online now: Fellowship on AGI Fundamentals.

• [WIP] My notes on ethics and AI: My list of key topics, lessons, and readings, and some of my remaining questions.

Resources

So far completely unsorted. I will progressively organise and arrange these.

Key papers

Wikipedia has some very broad, historical paper lists (with summaries):

• List of important publications in computer science / AI [wiki]
• List of important publications in theoretical computer science [wiki]

Yoni Nazarathy's course had a list of papers important to deep learning specifically:

• Key papers in the development of deep learning 1958--2017 [deeplearningmath.org] (more references below)

CHAI and Berkeley has some resource lists:

• CHAI annotated bilbiography [humancompatible.ai]

• Reading list for CS 294-149: Safety and Control for Artificial General Intelligence (Fall 2018) [course page]

Other bibliographic sources:

• The Alignment Newsletter Database [gsheet] (all previous entries in Rohin Shah's Alignment Newsletter)
• TAI Safety Bibliographic Database (2016--2020) [alignment forum] (aims to be comprehensive, including some of the other lists on this page; also contains lists of organisations and some reviews)

Unsorted

Wikipedia articles of interest

• AI control problem https://en.wikipedia.org/wiki/AI_control_problem

AI Safety Support

• links page https://www.aisafetysupport.org/resources/lots-of-links
• wishlist/bottleneck survey https://forum.effectivealtruism.org/posts/2pxGXYX2JrptvLpzZ/ai-safety-career-bottlenecks-survey-responses-responses (part career stuff, part resources and reading lists)

MIRI

• motivations https://intelligence.org/why-ai-safety/
• research guide (big textbook and essay/paper reading list) https://intelligence.org/research-guide/

Fora

• Alignment forum https://www.alignmentforum.org/
  • Check the curated sequences and community sequences
• There's also an archive of old AI internet posts by Richard Ngo
• On the topic of Richard Ngo this might be worth a read https://www.lesswrong.com/posts/k6NkvAcRaKBMAzqEF/my-intellectual-influences

Other

• https://www.cser.ac.uk/research/risks-from-artificial-intelligence/

• https://www.cnas.org/artificial-intelligence-and-global-security-reading-list

• Apparently there's an active, open, AI safety slack (see AGISF slack for link)

• https://80000hours.org/articles/ai-safety-syllabus/

• https://ethics-of-ai.mooc.fi/

• The alignment newsletter is pretty great (especially the podcast)

• Chris Olah on transparency for AI safety (see alignment newsletter 72)

• https://docs.google.com/document/d/1FbTuRvC4TFWzGYerTKpBU7FJlyvjeOvVYF2uYNFSlOc/edit

• artibal.com/explore/ai_alignment

• Causal influence diagrams https://www.lesswrong.com/posts/Cd7Hw492RqooYgQAS

• Natural abstraction https://www.alignmentforum.org/posts/cy3BhHrGinZCp3LXE/testing-the-natural-abstraction-hypothesis-project-intro

• https://www.cold-takes.com/roadmap-for-the-most-important-century-series/ blog and seris for another overview of it all

• sutton's website has a list of some key papers http://www.incompleteideas.net/publications.html