AGENTIC AI UNDER CONTROL: AUTONOMY, RESPONSIBILITY, AND SECURITY
Organizations are increasingly implementing agentic AI to automate complex processes, providing autonomous solutions without constant human control. At the same time, such autonomy raises questions of responsibility and security.
Experts suggest creating a multi-level governance system that includes clear policies, ethical standards, and technical guardrails. The system should provide for risk classification — from low to high — in order to adapt control methods to potential consequences.
The US government, through its Executive Order on AI, and the EU, through its AI Act, are already forming global regulatory frameworks. Businesses are advised to implement internal oversight, including human in the loop for critical decisions, and to define clear roles and responsibilities to avoid situations of uncontrolled actions.
Building trust in agentic AI requires transparency of processes and clear audit trails 🔍. Regular risk assessment and policy updates based on monitoring results help to identify potential failures in a timely manner.
Cooperation between the public and private sectors, the exchange of best practices, and the development of training programs on AI ethics will ensure a balance between innovation and security. Only such a comprehensive approach will allow organizations to take advantage of agentic AI without excessive risks.
Source of material – https://www.artificialintelligence-news.com/news/governing-the-age-of-agentic-ai-balancing-autonomy-and-accountability/
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