The importance of social and environmental responsibility in AI systems The development and use of AI should take into account the broader social and environmental impacts, and strive to promote sustainability and social responsibility. This is because AI can create a new technological utopia that obscures the way that AI […]

The importance of preventing AI misuse Despite the beneficial uses of AI, AI systems can be misused by state organizations, criminals, or economic rivals for dishonest purposes – whether to spread false information, conduct espionage, or monitor people. Thus, it is important to examine possible vulnerabilities from the start, beginning […]

The importance of prohibiting lethal autonomous weapons Weapon systems that select and engage targets without substantial human control or oversight are unacceptable and should be prevented. AI should not be developed or used for the development of lethal autonomous weapons systems, which are weapons that can select and engage targets […]

The importance of ensuring the ethical use of AI in law enforcement The development and use of AI in law enforcement should be guided by ethical principles, including respect for the presumption of innocence, the right to due process, and the avoidance of discriminatory or biased outcomes. While the use […]

The importance of ensuring access to justice in the development and use of AI systems AI systems should not be used to replace or undermine existing legal systems or the right to access justice, including the right to a fair trial and due process. Rather, efforts should be made to […]

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 […]