Description: Unilateral decisions in the context of artificial intelligence (AI) refer to those decisions made by automated systems without considering the opinions, perspectives, or needs of the affected stakeholders. This phenomenon raises important ethical questions, as it can lead to outcomes that do not reflect the diversity of interests and values in society. The lack of consideration for the voices of those affected can result in biases, discrimination, and a lack of transparency in decision-making processes. Unilateral decisions can arise in various fields, such as hiring, criminal justice, and healthcare, where algorithms can influence critical outcomes without adequate human oversight. This approach can be problematic, as AI systems, while capable of processing large volumes of data, lack the empathy and contextual understanding that humans possess. Therefore, it is essential to address ethics and bias in AI, promoting a more inclusive approach that considers the voices of all stakeholders to ensure that decisions made by these systems are fair and equitable.
