Ethical considerations in AI agent development are critical for ensuring fairness, accountability, transparency, and safety. One of the most important concerns is bias, where AI agents may inadvertently favor certain groups over others due to biased training data. Developers should ensure their datasets are representative and diverse to prevent discriminatory outcomes. Privacy is another concern, especially when AI agents collect and analyze personal data. Safeguarding this data and ensuring user consent is essential. Accountability is also key—if an AI agent causes harm, who is responsible? Clear guidelines for liability and oversight are necessary. Furthermore, developers should consider the long-term impact of AI, such as job displacement or the agent’s role in autonomous weapon systems. Finally, explainability is crucial. AI agents should be able to explain their decision-making process in a way that is understandable to humans, ensuring transparency and trust. Establishing ethical frameworks for AI agents helps mitigate risks and ensures their responsible use in society.