Below is a suggested reading list that enthusiasts of the machine ethics space may find interesting.
Please Note: EthicsNet does not necessarily support any ideas or positions discussed here.
Ethics
Ethical Principles and Values Hierarchies – Loewenberg and Dolgoff (docx)
The Ethics of Autonomous Weaponry; A philosophical analysis – Orlando Mednick (docx)
The Most Intolerant Wins: The Dictatorship of The Small Minority – Nassim Taleb
Ethics Defined – Lawrence Sheraton
True Morality: Rational Principles for Optimal Living – Peter Voss
Machine Ethics
Computational Ethics – Alicia I. Ruvinsky
A Computational Account of Complex Moral Judgement – Lillian Liu, Pat Langley, and Ben Meadows
Inverse Reinforcement Learning and Inferring Human Preferences with Dylan Hadfield-Menell – FLI
Cooperative Inverse Reinforcement Learning
Moral Decision Making Frameworks for Artificial Intelligence
Culture Mapping
AI-Ethics International Conference on Principles
Humanoid Agent-builders League (HAL)
IBM 3 guiding principles for AI
The IEEE Global Initiative for Ethical Considerations in AI and Autonomous Systems
The IEEE Global Initiative on Ethics of Autonomous and Intelligent Systems
UN Global Compact Principles to doing business
UNI The Future World of Work Top 10 Principles for Ethical AI
Principles
Can you suggest a resource that we should add to these lists?
Please let us know.
“The ‘raise of the machines’ is going to be a test of humility, understanding and ingenuity.
Are we creating systems that view themselves as part of a community of systems in a symbiotic relation, or are we creating Super Egos bigger than ourselves?
Are we developing coexistence, or are we developing competition? Are AI’s going to be a reflection of our deepest fears, or our greatest hopes?”
