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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 always be similar to the…

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, and the private sector. Also,…

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 impacted. To address this need,…

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 its design, operation, and use.…

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 involves a set of conditions…

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 beneficence principle illuminates the…

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 order to prevent negative consequences.…

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, AI systems should be developed…

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 to make decisions. The data…