New York Times – Artificial Intelligence : What Is ‘Agentic’ AI? It Doesn’t Require a Human to Tell It What to Do

Source URL: https://www.nytimes.com/2024/09/06/business/artificial-intelligence-agentic.html
Source: New York Times – Artificial Intelligence
Title: What Is ‘Agentic’ AI? It Doesn’t Require a Human to Tell It What to Do

Feedly Summary: So-called agentic artificial intelligence doesn’t require a human to tell it what to do. At least, that’s the idea.

AI Summary and Description: Yes

Summary: The text discusses the rapidly changing landscape of generative artificial intelligence (AI) and the emergence of “agentic AI,” highlighting its potential to enhance productivity significantly. It emphasizes that while current AI tools can assist with specific tasks, future developments aim to enable AI systems to autonomously fulfill complex objectives.

Detailed Description: The exploration of generative AI and its forthcoming evolution into agentic AI provides significant insights for professionals in technology, particularly those involved in AI security and infrastructure. This shift not only poses opportunities for improved efficiency but also necessitates careful consideration of the security implications associated with autonomous systems.

* Key Themes:
– **Generative AI Revolution**: The rise of AI technologies, like ChatGPT, which have the potential to transform everyday tasks and productivity.
– **Productivity Gains**: Current tools assist in generating emails, presentations, or code, setting the stage for greater efficiency.
– **Emerging Agentic AI**: A novel development wherein AI can operate independently, executing complex goals without direct human input.
– **Challenges Ahead**: There’s a cautionary note about the speed of tech advancements outpacing development capabilities, leading to potentially unmet expectations.

* Implications for Professionals:
– **Security Considerations**: As generative and agentic AI become more prevalent, organizations must assess the risks associated with deploying these technologies, especially in terms of data privacy, compliance, and governance.
– **Need for Robust Frameworks**: To harness agentic AI effectively, there may be a demand for frameworks that ensure the models operate securely and comply with relevant regulations.
– **Role of Compliance and Governance**: Understanding the legal ramifications and establishing governance protocols around autonomous AI agents will be crucial in mitigating risks.

Overall, the text serves as a timely reminder for professionals to remain vigilant about both the potential and the challenges associated with advancements in AI technologies.