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According to the EU, Amnesty International should adhere to the fundamental ethical principles of respect for human autonomy, prevention of harm, fairness and responsibility. The guidelines include seven requirements (listed below) and draw particular attention to the protection of vulnerable groups, such as children and persons with disabilities. They also state that citizens should have full control of their data.
The European Commission recommends using an evaluation list when developing or deploying AI, but the guidelines are not meant to be – or interfere with – a policy or regulation. Instead, they offer a loose frame. This summer, the Commission will work with stakeholders to identify areas where further guidance may be needed and to determine the best way to implement and verify its recommendations. In early 2020, the panel will incorporate feedback from the pilot phase. As we develop the potential to build things such as self-contained weapons and false information-generating algorithms, it is likely that more governments will take a stand on the ethical concerns raised by AI.
Below is a summary of the EU guidelines. You can read the full PDF here.
- Human agency and supervision: AI systems should enable the creation of equitable societies by supporting human action and fundamental rights, not reducing, limiting or misleading human autonomy.
- Robustness and Security: Trusted AI requires that algorithms be sufficiently secure, reliable and robust enough to handle errors or inconsistencies during all phases of the AI life cycle.
- Privacy and data governance: citizens should have full control over their own data, while data about them will not be used to harm or discriminate against them.
- Transparency: Traceability of AI systems should be ensured.
- Diversity, non-discrimination and equity: AI systems must take into account all human capabilities, skills and requirements and ensure their accessibility.
- Societal and environmental well-being: AI systems should be used to foster positive social change and enhance sustainability and ecological responsibility.
- Accountability: Mechanisms must be put in place to ensure the accountability and accountability of AI systems and their results.
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