Guide to reduce opacity in AI decision making in business Guía para la disminución de opacidad en la toma de decisiones de la IA en los negocios

Abstract

The research addresses the ethical and trust challenges arising with the rapid adoption of Artificial Intelligence (AI) in business environments. It focuses on the lack of transparency in AI decision-making, creating a pressing need to address this opacity. The analysis highlights the importance of finding a balance between the efficiency offered by AI and the transparency needed in business operations. In this context, a guide is proposed as a solution to reduce opacity and promote responsible use of AI in the business environment. This guide not only seeks to address ethical and trust dilemmas, but also has a significant social and economic impact. Socially, it enables professionals to make informed decisions, promoting conscious use of AI and contributing to brand diversification. In addition, it promotes more equitable competition in the market. The need to raise awareness about the proper use of AI is emphasized, ensuring its application without compromising personal and social progress. The proposed guide not only addresses ethical and trust issues, but also promotes responsible technological advancement in the business environment, seeking a balance between efficiency and transparency to achieve a positive social and economic impact.