Jul 2026· Engineering & Technology· pp. 204-219· 0 citations
TL;DR
The science, data stewardship, business, ethical duty, ethical duty, regulatory compliance, change management, and financial obligations surrounding the complex challenge for organisations keen to bring AI-based solutions to market are covered.
Abstract
US dominance in AI was simply assumed for the US to have a place in the 21st-century economy, and thus, it must spearhead this transformative technology. Yet, for all the hype, the road to using AI is a bumpy one. In this article, we cover the science, data stewardship, business, ethical duty, regulatory compliance, change management, and financial obligations surrounding the complex challenge for organisations keen to bring AI-based solutions to market. Based on a systematic review of best-practice literature, emerging industry case studies, and empirical research, the results provide a conceptual framework to overcome barriers and strategically guide the uptake of sustainable, responsible, and value-based AI in business.
This study aims to identify the key challenges and development prospects of AI implementation to enhance business efficiency and ensure sustainable development, providing strategic guidance for organizations to balance technological innovation with responsibility and risk management.
This paper argues that most responsible AI (RAI) governance frameworks do not meaningfully address AI’s environmental and social costs, and proposes the concept of critical AI governance, which rests on three overarching principles: critically questioning dominant ideologies and economic imperatives, prioritizing socia...
Paul Schuetze, B. Brevini· AI & SOCIETY· 0 citations
The convergence of AI and sustainability has given rise to AI-driven sustainable business environments, where intelligent technologies are leveraged to optimize resource utilization, reduce carbon footprints, enhance operational efficiency, and promote long-term value creation.
M. Sathyanarayana· International Journal of Res...· 0 citations
This study aims to analyze the challenges faced by startups in adopting Artificial Intelligence (AI) technologies through a multidimensional approach encompassing technical, economic, organizational, legal, and ethical dimensions. The study employs a descriptive-analytical methodology based on a systematic literature r...
Lattoui Djelloul, Hadjeri Hamza, Lattoui Malika· The Journal of Theoretical A...· 0 citations
Responsible AI literature is abundant in ethical principles, yet poor at offering practical, useful methods. Ethical guidelines, fairness metrics, and governance mandates proliferate, but structural discrimination, exclusion, and harm persist across deployed AI systems. In this keynote, I argue that the recurring gap b...
D. Zowghi· 2026 IEEE 34th International...· 0 citations
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