Description: Operational ethics in the context of artificial intelligence (AI) refers to the ethical considerations that arise in the daily operations of AI systems. This includes the responsibility of AI developers and operators to ensure that their systems operate fairly, transparently, and without bias. Operational ethics encompasses aspects such as data privacy, algorithmic fairness, accountability, and security. As AI becomes increasingly integrated into various industries, it is crucial for organizations to implement ethical practices in their operations to avoid negative consequences, such as discrimination or violations of rights. Operational ethics focuses not only on the design and development of AI but also on its implementation and use in the real world, ensuring that automated decisions are fair and that systems are auditable. This ethical approach is fundamental to building trust between users and AI technologies, as well as fostering an environment where technological innovation aligns with human and social values.
