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Why are design patterns important in Agentic AI?

1. They ensure AI systems are fair, transparent, and accountable.
2. They reduce the accuracy of AI systems.
3. They eliminate the need for data collection.
4. They promote biased AI systems.

Answer :

Design patterns are crucial in developing Agentic AI systems because they provide reusable solutions to common problems that arise in the architecture and design of these systems.

  1. They ensure AI systems are fair, transparent, and accountable.

    • This is the correct answer. Design patterns help create systems that consistently apply rules and ethics, making AI actions traceable and understandable. Using these patterns, developers can design AI systems that adhere to principles of fairness and transparency by systematically incorporating checks and documentation at every stage of the AI’s decision-making process. This ensures accountability in how decisions are made, thus fostering trust.
  2. They reduce the accuracy of AI systems.

    • This statement is incorrect. Design patterns are meant to enhance the effectiveness of AI systems by addressing specific challenges and improving design quality, not reducing accuracy.
  3. They eliminate the need for data collection.

    • This statement is also incorrect. Data collection remains a fundamental aspect of AI systems. Design patterns do not remove the need for data but can guide how data should be handled to ensure ethical standards and efficiency.
  4. They promote biased AI systems.

    • This is false. In fact, the opposite is true. Good design patterns help in minimizing biases by structuring AI systems in a way that mitigates unfair biases, through careful design considerations and rigorous testing.

In summary, design patterns play a vital role in deploying robust AI systems. They ensure these systems behave in predictable, ethical, and transparent ways, ultimately contributing to the constructive integration of AI technology into society.

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