EthicsNet, a non-profit, is building a community with the purpose of co-creating examples of nice behaviours, to help socialise A.I.
Machine Intelligence requires large, well-documented datasets (examples) to be trained upon. Datasets often matter more than algorithms per se, though they rarely get proper credit for the value that they can create.
Datasets such as Fei-Fei Li's ImageNet have enabled the recent expansion in capability of machine intelligence in powerful new ways that otherwise would be impossible.
We want to do the same for the space of kind behaviours – a massive collaboration efforts to construct, collate, and annotate a range of datasets that reflect many different cultures, opinions and creeds, and which can expand in scope and nuance over time, to 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.
Through our dataset we seek to support new ways of expressing ethics computationally, building on the latest and best available research. Creating a computable framework of ethics is an extremely challenging and daring endeavour, but an essential enabling technology for global civilization.
Regulations such as Common Law are the result of a massive collaborative effort across generations; hundreds of years of some of the smartest and best-educated people approaching real life situations asking "without violating the law passed by congress/parliament, or contradicting precedent, what's the best way to handle this situation in front of me?" In a similar yet accelerated manner, we hope to emulate such efforts in seeding an ethical dataset.
Our Massive Transformational Purpose: Help Machines Make Decisions That Enable Flourishing.
EthicsNet is a free and open-source project created as a public good for global society.
Please help us to enable a world with kinder machines.
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.
Build a community that can help ensure the project gets taken forward with international collaboration between individuals, companies, and NGOs.
Construct useful dataset(s) that can help to inform machine decision making on prosocial behavior, and the tools required to collect, collate, and annotate it.
Enable cultural contextualization, for increased cultural competence of social machines.
Enable a kind of a 'passport of values' whereby systems can learn ones personal value preferences, an important part of prosocial behavior.