The importance of international cooperation in the development and use of AI systems The global AI landscape is deeply collaborative, particularly in innovation, research, and standardization. There are various compelling reasons that make it necessary to sustain and promote global cooperation. International cooperation and coordination should be promoted to ensure […]

The importance of capacity building in the development and use of AI systems Capacity building programs should be put in place to ensure that stakeholders, particularly those in developing countries, have the knowledge and skills necessary to engage with AI and understand its potential impacts. Generally, it is accepted that […]

The importance of continuous learning in AI systems AI systems should be designed and deployed with the ability to continuously learn and adapt, in order to promote ongoing improvement and prevent negative consequences. The goal is to retrain models using updated data. Many machine learning models assume that data will […]

The importance of multi-stakeholder collaboration in the development and use of AI systems AI development should be informed by and involve public participation, particularly from those groups who are most affected by its use. In addition, AI development should involve collaboration between different stakeholders, including governments, civil society organizations, academia, […]

The importance of human rights impact assessments in the development and use of AI systems AI developers and users should conduct human rights impact assessments (HRIA) to identify and mitigate potential risks and negative impacts. As such, HRIA of AI systems needs a meaningful engagement of individuals who are most […]

The importance of human-centeredness in the development and use of AI systems Despite the increasing automation levels enabled by AI, the common threat among the various systems is the absence of the human element. Thus, the long-term success of AI depends on our recognition of the importance of people in […]

The importance of proportionality in the development and use of AI systems The proportionality principle in international law stipulates that an action’s legality shall be determined based on the respect of the balance between the objective and the methods and means utilized and the action’s consequences. Proportionality in AI systems […]

The importance of ethical considerations in AI systems The development and use of AI should be grounded in ethical principles, including respect for human rights, social justice, and the public good/beneficence. Respect for persons focuses on two major ethical convictions: everyone’s autonomy and the protection of those with reduced autonomy. […]

The importance of human oversight in AI systems AI should be designed and used in a way that ensures that humans remain in control and that AI does not undermine human autonomy or decision-making. This is particularly in areas where their use could have significant impacts on human rights, in […]

The importance of freedom of expression in AI systems AI systems should be developed and used in a way that respects individuals’ right to freedom of expression, including their right to access and share information and opinions without interference. Since everyone has a right to freedom of expression and opinion, […]

The importance of security in AI systems AI systems should be designed and used in a way that ensures their security, including protection against cyber-attacks and unauthorized access. Data security has increasingly become an important element of any AI system since these systems usually depend on large quantities of data […]

The importance of prohibiting mass surveillance in AI systems AI systems should not be used for the purpose of mass surveillance, or the collection and analysis of personal data without prior consent or a legitimate legal basis. Prohibiting mass surveillance in AI systems is important for mitigating the high risks […]