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How To Plan For A Regulated AI Future

Feb 18, 2025 - forbes.com
The article discusses the rise of generative AI and the need for businesses to develop robust AI management, safety, and security strategies. With the proliferation of AI agents, organizations must establish centralized governance frameworks to ensure AI safety and compliance with emerging regulations. This involves creating a governance committee to develop policies, monitoring systems, and performance metrics, while addressing AI safety hazards and implementing data protection measures across multi-cloud infrastructures.

Additionally, the article highlights the evolving regulatory landscape, particularly the EU AI Act, which is set to become the first comprehensive AI law. Businesses must prepare for these regulations by adopting flexible, multi-platform infrastructures and developing proficiency in AI operations, such as LLMOps. Organizations face the challenge of bridging the AI skills gap and may need to partner with AI technology experts to navigate the complexities of AI management and compliance effectively.

Key takeaways:

  • The rise of generative AI and multi-agent AI systems necessitates the development of centralized governance frameworks for AI management, safety, and security.
  • Organizations must establish AI safety and security tenets, considering the specific risks and requirements of different AI agents, such as industrial control agents and LLM chatbots.
  • Governments and regulatory bodies are developing AI legislation, with the EU AI Act being a significant example, emphasizing the need for businesses to prepare for compliance with global AI regulations.
  • Enterprises need to address the AI skills gap by either hiring AI experts or partnering with AI technology firms to manage AI agents and adapt to evolving benchmarks and regulations.
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