(i) Respect for Human Rights: AI stakeholders are committed to respecting and upholding human rights in all AI-related activities. AI systems must be designed and used in a way that respects the rights to privacy, non-discrimination, and freedom of expression, among others
(ii) Fairness and Non- Discrimination: AI systems must be developed and used in a manner that is fair, unbiased, and inclusive. AI stakeholders should actively work to identify and mitigate biases in AI systems, ensuring that they do not perpetuate or exacerbate existing inequalities.
(iii) Privacy and Data Protection: AI stakeholders should prioritize the privacy and data protection of individuals when designing and using AI systems. The AI stakeholders should comply with all applicable data protection and privacy laws and adhere to industry best practices for data handling and storage.
(iv) and Explainability: AI systems used by AI stakeholders must be transparent in their operation, and the organisation must provide clear explanations of the logic and reasoning behind AI-generated outputs. For example, companies should maintain a centralized system for AI governance and compliance efforts that provides comprehensive Transparency transparency across the organization of proposed and active AI efforts. Also, they should ensure that the organization is trained and has necessary access to the system for their ongoing work and reporting. Stakeholders should be able to understand how AI systems work and the basis for the decisions they produce.
(v) Accountability and Re- sponsibility: AI stakeholders should hold themselves ac- countable for the ethical use of AI and the outcomes gen- erated by AI systems. The or- ganisation is responsible for ensuring that AI technologies align with this policy and for addressing any adverse im- pacts resulting from their use.
(vi) Safety and Security: AI systems must be designed, developed, and used with a focus on safety and security. AI stakeholders should prior- itize the protection of indi- viduals and society from po- tential harm and will work to minimize risks associated with AI technologies.
(vii) Human-Centered AI : AI systems should be designed to augment and empower human decision-making, not replace it. AI stakeholders should promote human-AI collaboration and ensure that humans retain control over AI systems and their outputs.
(viii) Environmental and Social Sustainability: AI stakeholders should strive to develop and use AI technologies in a manner that promotes environmental and social sustainability, minimizing negative impacts on the environment and communities.
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Ethical Horizons - Mapping AI Policy in Africa May, 2024 Ethical Horizons - Mapping AI Policy in Africa May, 2024
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