EthicsNet is a machine ethics research social enterprise.
We are creating the first dataset for machine ethics, alongside various co-creation tools necessary to curate and develop it.
Machine Intelligence requires large, well-documented datasets for it to be trained upon. Datasets often matter more than algorithms per se, though they rarely get credit for the value that they can create. Datasets such as Fei-Fei Li's ImageNet has enabled the recent expansion in capability of machine intelligence in powerful ways that otherwise would be impossible.
We want to do the same for the space of ethics; a living dataset that can expand in scope and nuance over time, and empower socially-aware thinking machines for generations to come.
We have a vision of building a safer and more just world, by enabling humans and machines to make better decisions, and creating trust through verifiable behavioural rulesets.
We recognise that ethics are varied across time, geography, and culture. We intend to democratize access and opportunity for contribution to this world-changing system, that is currently concentrated in the hand of a few AI researchers/engineers.
Our goal is to advance the field of machine ethics, by seeding a framework for analysis of various ethical situations, in a way that can be easily understood by both humans and machines.
We seek new ways of expressing ethics computationally, by building on the latest and best available research. Creating a computable framework of ethics is an extremely challenging and daring endeavour, but one with the potential to change the path of civilization.
EthicsNet is a free and open-source project created as a public good for global society.
The intended outcomes of this project are the following:
Empower other, further projects more easily – Seed an ecosystem than can leverage this framework and accelerate developments in this area.
Use known techniques that are state of the art – Make the best of current machine ethics techniques open, accessible, and meaningful to the masses.
Direct and actionable implementations – Empower proof of concepts that demonstrate practical solutions to real-world problems using this technology.
Build a community that can help ensure the project gets taken forward with international collaboration between individuals, companies, and NGOs.
- Build upon existing ethical frameworks, standards, and best practices such as those of the IEEE or The UN Declaration of Human Rights.
Enable the development of standards within ethics than can be generally agreed-upon, interpreted, and improved-upon, and preferable subsets of those which are most pertinent to specific situations or cultures.