Description: Utilitarianism in artificial intelligence (AI) is an ethical theory that evaluates the moral value of actions and decisions made by AI systems based on their outcomes. This perspective focuses on maximizing overall well-being and minimizing suffering, considering the consequences of actions as the primary criterion for determining their morality. In the context of AI, this means that algorithms and models must be designed and evaluated not only for their technical effectiveness but also for their impact on society and individuals. Utilitarianism in AI raises fundamental questions about the ethical responsibility of developers and organizations implementing these technologies, as well as how to measure and value outcomes. As AI integrates into various areas, from healthcare to criminal justice, the utilitarian approach becomes crucial to ensure that these technologies benefit the greatest number of people while avoiding collateral damage. This approach also invites a debate on fairness and justice, as algorithmic decisions can have disproportionate effects on different social groups. In summary, utilitarianism in AI is an ethical guide that seeks to align the development and use of artificial intelligence with collective well-being, promoting a future where technology serves humanity in a fair and equitable manner.
