Multi-Stakeholder AI Security

Multi-Stakeholder AI Security refers to a collaborative approach involving various entities—such as governments, businesses, academia, and civil society—to address the security challenges posed by artificial intelligence. This framework emphasizes shared responsibility in developing and implementing robust AI governance, risk management, and ethical guidelines. By fostering cooperation among diverse stakeholders, Multi-Stakeholder AI Security aims to enhance protection against AI-related threats, promote transparency, and ensure the responsible use of AI technologies. This holistic strategy is essential for safeguarding data integrity, privacy, and societal trust in AI systems.

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