Description: Quantitative ethics refers to the application of quantitative methods in ethical decision-making, especially in the context of technology and artificial intelligence (AI). This approach seeks to provide an analytical framework that allows for the evaluation and comparison of different ethical decisions using data and mathematical models. Through the collection and analysis of data, quantitative ethics aims to offer an objective basis for decision-making, minimizing the subjectivity that often accompanies ethical judgments. This approach is particularly relevant in AI, where automated decisions can have significant impacts on people’s lives. Quantitative ethics enables developers and policymakers to assess the consequences of their decisions more accurately, considering factors such as fairness, justice, and social welfare. By integrating quantitative metrics into the decision-making process, the goal is not only to improve transparency and accountability but also to promote a more responsible and ethical development of technology. In a world where AI is increasingly prevalent, quantitative ethics becomes an essential tool for addressing the ethical dilemmas that arise from its implementation and use.
