1
We see the highest value in building a community that shares common understanding and values of Responsible AI, whilst making responsible AI practices accessible and actionable for everyone.
2
Members from all disciplines and backgrounds are encouraged to work together. Cross-disciplinary collaboration is the source of our most innovative and versatile solutions.
3
We act as ambassadors and intrinsically motivated leaders of responsible AI domains to influence value-driven outcomes in our own surroundings and areas of influence.
4
We see leadership as a skill to encourage anyone in the community to take the role and represent their domain in an inclusive manner, where the community can select representatives for a cadence.
5
We welcome the notion of complexity and evolving challenges, even late in a discussion. We see constant evolvement and critical thinking as an opportunity for growth and improvements. We strongly believe in human expertise to make decisions without blind trust.
6
We promote a sustainable pace of engagement. Members should be able to maintain a healthy level of participation to avoid burnout.
7
We recognise our strength in providing tangible instruments and practices that can minimise risks and potentially harmful outcomes from the use of AI to individuals and society at large, originating from early stages (by Design).
8
We recognise that responsible use of AI must put human life and dignity in the center of any decision. We discourage discrimination and under-representation of any kind. Our practices embrace equal representation of vulnerable and underrepresented groups, as well as consider potential impact through technological advancement on these groups.
9
We pledge to not intentionally harm anyone. Our practices and ways of working consider environmental impact by keeping sustainable use of technology in mind by every decision we make.
10
We strongly believe in continuous learning and education for everyone, who uses AI, about its goal, its role, outcomes, limitations, risks, harms and individual rights of the users.
11
We recognise AI systems as sociotechnical systems where governance context needs to recognise and respect societal values, technical context, and economic powers.