Ethical Considerations in Deployment and Design
They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and Internet users.
Privacy is key: AI systems must be data responsible.
responsible disclosure: Security researchers acting in good faith should be able to responsibly test the security of AI systems without fear of prosecution or other legal action.
Principle: Legal accountability has to be ensured when human agency is replaced by decisions of AI agents.
It should be based on four key attributes: Inclusiveness and transparency; Collective responsibility; Effective decision making and implementation and Collaboration through distributed and interoperable governance