Abstract
The vast complexity involved in dealing responsibly with sustainable development is daunting. Such complexity increases significantly due to the interdependencies and trade-offs associated with the 17 UN Sustainable Development Goals (SDGs). To address sustainability across multiple domains, recent advances in technology and innovative adaptations offer some promise, as exemplified by the increased prominence of artificial intelligence (AI) in the marketplace. However, as more industrial firms leverage AI to address sustainable development goals, it becomes even more critical for them to account for these interdependencies and trade-offs among the SDGs. Relatively few existing studies guide industrial marketers in accounting for these interdependencies when deploying AI-enabled solutions. Herein, guided by complex adaptive systems theory and principles of systems engineering, the authors introduce a responsible AI deployment model that articulates key steps in the development and deployment of AI solutions to advance sustainable development firms.
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