The rapid advancement of artificial intelligence (AI) and big data technology has created new potential for economic growth, social development, and creativity. However, their incorporation into local economies presents issues regarding ethical governance, skill development, access to infrastructure, and equitable benefit sharing. This paper presents the AI and Big Data Equitable Transformation Theory (ABETT), a comprehensive framework for guiding the responsible and inclusive use of AI and big data in various scenarios. The ABETT model has six basic constructs: policy and ethical governance, skills development and education, scalable and equitable infrastructure access, collaborative innovation and knowledge exchange, sustainable AI and data for development, and economic growth and competitiveness. The ABETT framework was created, validated, and enhanced using a qualitative research design that included a systematic literature assessment, expert interviews, and case study analysis. The results support the model's relevance and applicability, illustrating how its elements work together to generate ethical and sustainable technological innovation. Comparisons with previous theories show that ABETT adds value by proposing a comprehensive and customizable pathway for AI and big data adoption that emphasizes collaboration, equity, and sustainability. The paper discusses the model's policy and practical implications, limitations, and future research recommendations. ABETT provides a practical roadmap for stakeholders who want to use AI and big data to promote inclusive growth, sustainable development, and equitable technical advancement.
Read full abstract