The development of AI affects various stakeholders, potentially leading to conflicts of interest-clashes between the interests of different parties. These conflicts can hinder the progress and deployment of AI systems. This study addresses the proactive management of conflicts of interest, aiming to prevent them. It advocates for the use of risk identification methods to achieve this goal. The approach is supported by elucidating the concepts of conflict of interest and risk, and exploring their interconnections. The paper then demonstrates the application of risk identification methods to conflicts arising from the processing of personal data by AI systems in a care context.