Principle 3 – humanity

The humanity principle highlights that AI systems should be built using an ethical methodology to be just and ethically permissible, based on intrinsic and fundamental human rights and cultural values to generate a beneficial impact on individual stakeholders and communities, in both the long and short term goals and objectives to be used for the good of humanity.

The humanity principle highlights that AI systems should be built using an ethical methodology to be just and ethically permissible, based on intrinsic and fundamental human rights and cultural values to generate a beneficial impact on individual stakeholders and communities, in both the long and short term goals and objectives to be used for the good of humanity.

The humanity principle highlights that AI systems should be built using an ethical methodology to be just and ethically permissible, based on intrinsic and fundamental human rights and cultural values to generate a beneficial impact on individual stakeholders and communities, in both the long and short term goals and objectives to be used for the good of humanity.

The humanity principle highlights that AI systems should be built using an ethical methodology to be just and ethically permissible, based on intrinsic and fundamental human rights and cultural values to generate a beneficial impact on individual stakeholders and communities, in both the long and short term goals and objectives to be used for the good of humanity.

Predictive models should not be designed to deceive, manipulate, or condition behavior that is not meant to empower, aid, or augment human skills but should adopt a more human centric design approach that allows for human choice and determination.

1 It is essential to design and build a model that is based on the fundamental human rights and cultural values and principles that are applied within and on the AI system’s decisions, processes, and functionalities.

2 The designers of the AI model should define how the AI system will align with fundamental human rights and KSA’s cultural values while designing, building, and testing the technology; as well as how the AI system and its outcomes will strive to achieve and positively contribute to augment and complement human skills and capabilities.

2 Data must be properly acquired, classified, processed, and accessible to ensure respect for human rights, and KSA’s cultural values and preferences.

2 Data must be properly acquired, classified, processed, and accessible to ensure respect for human rights, and KSA’s cultural values and preferences.

1 When constructing AI systems, designers and engineers should prioritize building AI systems and algorithms that allow and facilitate decision making with an outlook of aligning with human rights and KSA’s cultural values.

The automated decisions that result from AI systems should not act in a partial and standalone manner without considering broader human rights and cultural values in their final outcomes and results.

2 Designers and Engineers should enable AI systems with the appropriate parameters and algorithm training to attain outcomes that advance humanity

1 Periodic assessments of the deployed AI system should be conducted to ensure that its results are aligned with human rights and cultural values, accuracy key performance indicators (KPIs), and impact on individuals or communities to ensure the continuous improvement of the technology.

2 Designers of AI models should establish mechanisms of assessing AI systems against fundamental human rights and cultural values to mitigate any negative and harmful outcomes resulting from the use of the AI system.

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.

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.

AI systems should never lead to people being deceived or unjustifiably impaired in their freedom of choice.

The design approach of the AI system should respect human rights, and fundamental freedoms as well as the national laws and cultural values of the kingdom.

The design approach of the AI system should respect human rights, and fundamental freedoms as well as the national laws and cultural values of the kingdom.