Neglecting the ethical and social implications of ANN models can lead to unfair, biased, or harmful models that violate the rights, values, or norms of the stakeholders. To avoid this mistake, you should consider the purpose and context of your model and identify the potential benefits and risks for the users. Additionally, you should ensure transparency and accountability by providing clear and accurate information about its data, methods, assumptions, limitations, and outcomes. Furthermore, you should ensure fairness and inclusiveness by avoiding or mitigating any discrimination, bias, or prejudice that may affect different groups or individuals. Finally, you should ensure privacy and security of your model by protecting the confidentiality, integrity, and availability of the data, code, or model from unauthorized access. Moreover, you should ensure sustainability and responsibility by minimizing the negative environmental, social, or economic impacts of your model on present and future generations.