The first step to address the concern of discrimination against certain demographic groups resulting from the use of machine learning models is to obtain stakeholders' input regarding the ethics associated with machine learning. This is because stakeholders are the ones who are affected by or have an interest in the outcomes of machine learning models, and their input can help identify the ethical values, principles, and standards that should guide the development and use of machine learning models. Stakeholders' input can also help ensure that the machine learning models are aligned with the enterprise's mission, vision, and goals, as well as the legal and regulatory requirements. According to COBIT 5, one of the seven enablers of IT governance is stakeholders1. The Ethics and Governance of Artificial Intelligence project also emphasizes the importance of engaging with diverse stakeholders to ensure that AI systems are fair, accountable, transparent, and human-centric2. References := 1: COBIT 5: A Business Framework for the Governance and Management of Enterprise IT, ISACA, page 312: Algorithms and Justice - Berkman Klein Center