An ESG-AI Matrix for Innovation Ecosystems

Résumé

This paper presents a review of the challenges and opportunities associated with the use of Artificial Intelligence (AI) in innovation ecosystems, in light of ESG (Environmental, Social and Governance) principles. The research draws on recent literature, case studies and practical initiatives to discuss the main ethical, social, environmental and governance obstacles in the application of AI. Issues such as algorithmic opacity, carbon footprint of models, discriminatory biases and digital exclusion are examined, as well as concrete advances and experiences – including Brazilian/Latin American public policies, emerging legislation and responsible AI programs. Solutions and paths are also presented, covering frameworks, guidelines, principles and ESG metrics specific to AI, as well as impact mitigation tools and initiatives. As a central contribution, the article proposes and discusses an ESG-AI matrix applicable to ecosystems illustrating how each dimension (environmental, social and governance) can be integrated into the practice of innovation with AI. The intention is to support professionals, researchers, entrepreneurs, managers and multiple actors of innovation ecosystems in incorporating principles of sustainability, equity and transparency in the development and use of AI solutions.