This white paper defines how agentic AI can be governed responsibly as systems evolve from automated tools to autonomous decision-makers. It explores the shift from reactive oversight to proactive design grounded in ethics, transparency, and accountability. By aligning global regulation, technical standards, and lifecycle governance, organizations can scale AI safely while preserving trust and human[...]
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Multi-agent Collaboration Systems (MAS), composed of autonomous and specialized AI agents coordinated through orchestration and communication protocols, provide a robust alternative. By enabling coordinated reasoning, tool use, and role-based task division, MAS delivers scalable, resilient intelligence to meet complex enterprise needs. This whitepaper examines how MAS enables enterprise co-intelligence through distributed reasoning, domain specialization, and[...]
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