Description: Obsolescence management in the context of artificial intelligence (AI) ethics refers to the strategies and practices designed to handle the lifecycle of AI systems, aiming to minimize the ethical risks associated with their use and eventual obsolescence. This concept involves careful planning from the conception of the technology to its implementation and eventual retirement. Obsolescence management seeks to ensure that AI systems are not only effective and efficient but also operate within an ethical framework that respects human rights, privacy, and fairness. As technology advances, AI systems may become obsolete, leading to issues such as algorithmic discrimination, lack of transparency, and loss of control over automated decisions. Therefore, it is crucial to establish protocols that allow for the responsible updating, maintenance, and, if necessary, removal of these systems. This includes ongoing assessment of their social and ethical impact, as well as implementing mechanisms to ensure that AI systems align with societal values and ethical principles. In summary, obsolescence management is an essential component to ensure that the evolution of AI is sustainable and ethical, thereby protecting individuals and communities from potential harms arising from outdated or poorly managed technologies.
