Description: Harm reduction in the context of artificial intelligence (AI) refers to a set of strategies and practices designed to minimize the negative consequences associated with the use of AI technologies. This approach focuses on identifying and mitigating risks, ensuring that AI systems operate ethically and responsibly. Harm reduction involves implementing measures that prevent bias, discrimination, and other adverse effects that may arise from automation and the use of algorithms. Additionally, it seeks to promote transparency and accountability in the development and implementation of AI systems, fostering an environment where the benefits of technology are maximized while minimizing its risks. This concept is fundamental in AI ethics, as it addresses concerns about fairness, equity, and the social impact of automated decisions. Harm reduction applies not only to the creation of algorithms but also to their use in various applications, from technology development to decision-making processes, where algorithmic decisions can have significant consequences on people’s lives. In summary, harm reduction is a proactive approach that seeks to ensure that AI is used in a way that benefits society as a whole, avoiding unnecessary harm and promoting ethical and responsible technological development.
