They need to consider their collective responsibility in building AI systems that will not pose security risks to the Internet and Internet users.

responsible Deployment

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.

Ensuring accountability

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