When using AI in decision-making, managers need to be aware of several ethical considerations:

1. Data Privacy: AI systems often use large amounts of data, which can include sensitive personal information. Managers must ensure that this data is collected, stored, and used in compliance with privacy laws and regulations.
2. Transparency: It's crucial for managers to communicate how AI is being used in decision-making, and ensure that the AI's processes are understandable to those affected. This is often referred to as the "explainability" or "interpretability" of AI.
3. Bias and Discrimination: AI systems can unintentionally perpetuate or amplify biases if they're trained on biased data. Managers need to be aware of this and take steps to mitigate bias in AI decision-making.
4. Job Displacement: The use of AI can lead to job displacement, as some roles may be automated. Managers have a responsibility to consider the impact on their team and support them through potential transitions.
5. Security: AI systems can be vulnerable to hacking or misuse, leading to data breaches or incorrect decision-making. Managers should ensure that appropriate security measures are in place.
6. Over-Reliance on AI: While AI can assist in decision-making, it's important not to over-rely on it at the expense of human judgment and intuition. Managers should ensure a balance between AI-assisted and human decision-making.
7. Algorithmic Fairness: Decisions made by AI should be fair and unbiased. Managers need to ensure that the AI systems they use do not disadvantage or unfairly favor certain groups.
8. Accountability: Even when a decision is made with the assistance of AI, a human manager is still accountable for that decision. Managers should ensure they understand how their AI systems make decisions and are prepared to justify those decisions.
9. Informed Consent: If AI is used to make decisions about people (such as employees or customers), those people should ideally be aware of the use of AI and have given their consent.
10. Sustainability: Managers should consider the environmental impact of AI systems, which can be significant due to the energy required to power data centers.

These ethical considerations underscore the importance of thoughtful, responsible use of AI in decision-making. Managers need to stay informed about the ethical implications of AI and take steps to address them.