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The AI landscape is undergoing a transformation, with Agentic AI emerging as a critical development, distinct from popular Large Language Models (LLMs) like ChatGPT. This article explores how Agentic AI extends AI capabilities beyond traditional chat interfaces to broader realms of decision-making and action.

Our previous article, Roles of Key Actors in the Lifecycle of Agentic AI Systems, elaborated on AI Agents without first defining them. Shame on us… therefore, here’s our overview of what you need to know about them.

Understanding Agentic AI

We are witnessing a paradigm shift in artificial intelligence. Indeed, these systems not only process and respond to information but also autonomously pursue complex goals, functioning with a level of independence that transcends the capabilities of standard AI models.

Large Language Models (LLMs) Like ChatGPT

ChatGPT and similar LLMs have revolutionized our interaction with AI through sophisticated chat interfaces. To the point that they excel in processing and generating human-like text, but their functionality largely remains within the realm of conversation and information exchange.

The Extended Reach

In contrast to LLMs like ChatGPT, Agentic AI systems are equipped with tools and functionalities that enable them to exercise a degree of control and influence in the physical or digital world. This capacity allows them to execute tasks, make autonomous decisions, and interact with their environment beyond the confines of a chat interface; e.g. to send an email, rather than simply drafting it.

Ethical and Governance Challenges

Given greater autonomy and capabilities, AI Agents may bring greater benefit to its users. However, it may also lead to harms or externalities.

Therefore, these systems raise complex ethical and governance issues. These challenges include considerations around accountability, ethical decision-making, and ensuring that these systems align with human values and safety protocols.

The Future Landscape of AI

The progression towards Agentic AI opens up exciting prospects for the future of technology. However, it also necessitates careful consideration and robust frameworks to manage the broader impact and potential risks associated with more autonomous AI systems.

Conclusion

Agentic AI extends the frontiers of AI technology far beyond the chat interfaces of LLMs like ChatGPT. As we embrace this new wave of AI capabilities, it is crucial to understand and address its challenges and opportunities.

References

  • Shavit, Y. et al. (Dec 2023). “Practices for Governing Agentic AI Systems”. OpenAI. Available Online.

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