About the Journal

The AI, Technology & Social Transformation (AITST) is an international, peer-reviewed, open-access journal dedicated to publishing cutting-edge research at the intersection of Artificial Intelligence (AI), computing, digital technologies, and social transformation. The journal is administered by the Research Consultancy on Social and Management Development, a duly registered research consultancy with the Securities and Exchange Commission of Pakistan (SECP) under Section 1 of the Companies Act, 2017 (XIX of 2017), bearing Registration No. 0220469. AITST serves as a scholarly platform for researchers, policymakers, technologists, and practitioners to examine how digital innovations are reshaping social, economic, organizational, and environmental systems worldwide. The journal seeks to bridge disciplinary divides between technology and society, fostering dialogue on the inclusive, ethical, and sustainable applications of AI and related technologies.

Aims & Scope

AITST seeks to explore the dynamic interplay between artificial intelligence, technological innovation, and the social sciences. The journal's mission is to promote interdisciplinary scholarship that investigates how intelligent technologies reshape social structures, human behaviour, governance, culture, ethics, and global development. AITST aims to advance knowledge that contributes to responsible, inclusive, and sustainable digital transformation.  AITST aims to:

  • Provide a scholarly platform for research at the intersection of AI, technology, and social sciences.
  • Bridge the gap between technical advancements and their social, economic, ethical, and political implications.
  • Encourage dialogue between developers, researchers, policymakers, and social scientists.
  • Support evidence-based insights that guide inclusive and human-centered technological progress.

AITST invites original research, conceptual frameworks, empirical studies, case analyses, and review articles from multidisciplinary perspectives. The journal encourages submissions that:

  • Analyze how AI and emerging technologies influence social norms, institutions, economies, and public life.
  • Investigate ethical, regulatory, and cultural dimensions of digital innovation.
  • Explore technological interventions in areas such as health, education, environment, governance, and human rights.
  • Promote responsible and equitable technology adoption for sustainable development.

Main Domains

  1. Artificial Intelligence (AI)
  2. Technology and Innovation
  3. Social Sciences and Transformation

Subdomains Covered

1. AI and Social Systems

  • Applications of AI in public governance, education, healthcare, law, and social justice
  • Ethical frameworks, transparency, accountability, and regulatory policies for AI
  • Human-AI interaction, societal acceptance, and the sociocultural impacts of intelligent systems

2. Computing, Software Engineering, and Information Technology

  • Advancements in digital systems, cybersecurity, cloud and edge computing
  • Software development, digital infrastructure, automation, and intelligent systems
  • Data science, machine learning, and AI-driven solutions in societal and human-centered contexts

3. Management Sciences and Organizational Transformation

  • Digital innovation across enterprises, government institutions, and non-profit organizations
  • Role of AI in strategic management, entrepreneurship, and leadership development
  • Business model transformation, digital strategy, and organizational agility in the AI era

4. Environmental Sciences and Sustainability Technologies

  • AI applications for climate action, pollution monitoring, smart agriculture, and energy efficiency
  • Green computing, sustainable urban development, and disaster preparedness technologies
  • Digital innovations supporting the United Nations Sustainable Development Goals (SDGs)

5. Digital Inclusion and Social Equity

  • Technology-driven empowerment for marginalized and underserved populations
  • Gender equity, diversity, and inclusive growth through digital innovation
  • Bridging the digital divide in developing and emerging economies

6. Data-Driven Social Change

  • Predictive analytics and big data applications in policymaking, economic planning, and social development
  • Ethical concerns and societal risks of algorithmic governance and automated decisionmaking
  • Interdisciplinary approaches from behavioral economics, computational sociology, and digital anthropology