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What is a key ethical consideration in the development of Agentic AI?

1. Ignoring data privacy
2. Reducing transparency
3. Ensuring fairness, transparency, and accountability
4. Collecting more data

Answer :

A key ethical consideration in the development of Agentic AI is ensuring fairness, transparency, and accountability. This choice is crucial because it addresses several fundamental ethical principles in AI technology:

  1. Fairness: It entails designing AI systems that do not discriminate against any group or individual unfairly. This means the AI should be developed with diverse data sets and algorithms that ensure equitable treatment for all users, regardless of race, gender, or other socio-demographic factors.

  2. Transparency: This involves making AI systems interpretable and understandable to users and stakeholders. Transparent systems allow for users to see how decisions are made and to understand the workings of AI models. This openness can build trust in AI systems.

  3. Accountability: Holding AI systems accountable means establishing mechanisms to ensure that AI systems and their developers can be held responsible for their actions or predictions. This includes having processes in place for when things go wrong, such as misjudgments by AI systems, ensuring there are ways to address and rectify mistakes.

Together, these considerations help guide the ethical development and deployment of Agentic AI. It promotes responsible AI use that aligns with societal values and norms, ensuring that the benefits of AI are maximized while minimizing potential harms.

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