The social and environmental benefit principle embraces the beneficial and positive impact of social and environmental priorities that should benefit individuals and the wider community that focus on sustainable goals and objectives.

This entails the protection of social good as well as environmental sustainability.

2 When planning and designing AI systems, due consideration should be given to preventing and helping address social and environmental issues in a way that will ensure sustainable social and ecological responsibility.

2 It is best practice to measure and maintain acceptable levels of resource usage and energy consumption during this phase setting the tone that AI systems not only strive to foster AI solutions that address global concerns relating to social and environmental issues but also practice sustainable and ecological responsibilities.

1 After the deployment of the AI system, the AI System Owner should ensure that continuous assessment of the human, social, cultural, economic and environmental impact of AI technologies are carried out with full cognizance of the implications of the AI system for sustainability as a set of constantly evolving goals across a range of dimensions against the priority objectives that were set at the Plan and Design phase.

2 The AI System Owner should also foster and encourage the power of AI solutions in addressing areas of global concern aligning with sustainable development goals.

It is essential to keep a sustainable technical outlay and outcomes generated from the system to maintain the public’s trust and confidence in the AI system.