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AI and Society: Navigating the Intersection of Technological Innovation, Ethics, and Global Human Values

 

Section Editor:

Dr Rabia Salman
Newcastle Business School, Northumbria University, Uk

rabia@sci-cult.com

Background and Rationale

The rapid advancements in artificial intelligence (AI) are profoundly reshaping societies, economies, and governance structures, raising pressing ethical, regulatory, and societal challenges. The pervasive integration of AI into various domains—including healthcare, education, finance, and governance—necessitates a critical examination of its implications for human values, democracy, and global equity. Recent scholarship has underscored the importance of establishing robust ethical frameworks to ensure that AI development aligns with principles of transparency, accountability, fairness, and social responsibility (Floridi & Cowls, 2019). Moreover, the concept of “society-in-the-loop” (Rahwan, 2018) highlights the necessity of embedding societal values directly into AI decision-making processes to prevent unintended biases and reinforce ethical governance. Given the unprecedented pace of AI-driven transformation, there is a growing imperative for interdisciplinary research that not only evaluates the risks and challenges associated with AI but also explores strategies to harness its benefits for societal progress. This section seeks to contribute to this discourse by providing a platform for rigorous research on the interplay between AI, ethics, governance, and global human values.

Aims and Scope

This section is dedicated to exploring the multifaceted impact of AI on society, offering a comprehensive examination of the ethical, cultural, regulatory, and socio-economic dimensions of AI adoption across diverse global contexts. It aims to advance ethical and responsible AI development by investigating frameworks and strategies that promote transparency, fairness, accountability, and ethical governance in AI systems. This includes discussions on bias mitigation, algorithmic justice, and the role of AI ethics guidelines in fostering responsible innovation. Furthermore, it will analyze the societal and cultural transformations driven by AI technologies, examining their influence on human interactions, social structures, and cultural norms. Particular attention will be given to critical issues such as digital inclusion, privacy rights, and the broader societal consequences of algorithmic decision-making.

Additionally, this section will assess the challenges and opportunities associated with AI governance, policy, and regulation. It will explore how different regulatory frameworks attempt to balance innovation with risk management and examine the implications of AI governance models across various jurisdictions. Given the global nature of AI, this section will encourage comparative analyses of policy approaches and their effectiveness in fostering international cooperation. Finally, the section will bridge technological innovation with social well-being by integrating interdisciplinary perspectives that explore how AI can be harnessed to promote economic growth, educational advancements, and cultural enrichment. By fostering a critical dialogue on these pressing issues, this section seeks to ensure that AI-driven technological progress aligns with ethical responsibility, democratic governance, and human-centered innovation.

Key Streams of Research

This section welcomes research from diverse academic disciplines that explore AI’s intersection with society, culture, governance, and economic structures, including but not limited to:

  • Education and Learning Technologies (AI-driven personalized education, adaptive learning, and digital pedagogy)
  • Sociology and Anthropology (Impact of AI on social behavior, identity formation, and cultural dynamics)
  • Political Science and Governance (AI in policymaking, political campaigns, and digital governance models)
  • Law and Ethics (AI regulation, intellectual property rights, algorithmic accountability, and data privacy)
  • Media and Communication Studies (AI’s role in misinformation, journalism, and social media influence)
  • Psychology and Cognitive Science (Human-AI interactions, trust in AI, and psychological adaptation to AI systems)
  • Economics and Labor Studies (AI’s effects on employment trends, productivity, and new business models)
  • Marketing and Consumer Behavior (AI-driven market analysis, customer experience, and behavioral analytics)
  • Business and Management (AI-powered decision-making, risk assessment, and automation in business operations)
  • Public Policy and International Relations (AI in diplomacy, global cooperation, and regulatory frameworks)
  • Cybersecurity and Digital Ethics (AI’s role in protecting or challenging digital security and privacy)
  • Sustainable Development and Environmental Studies (AI-driven solutions for climate change, conservation, and energy efficiency)
  • Linguistics and Computational Language Studies (AI in natural language processing, machine translation, and speech recognition)
  • Philosophy of Technology (Ethical considerations, AI consciousness, and existential risks)
  • Urban Planning and Smart Cities (AI-driven innovations in infrastructure, traffic management, and resource allocation)
  • Healthcare and Biomedical Sciences (AI applications in diagnostics, personalized medicine, and healthcare automation)
  • Human Rights and Social Justice (AI bias, discrimination, digital inequalities, and the protection of marginalized communities)
  • Retail and E-commerce (AI in customer profiling, recommendation systems, and supply chain optimization)
  • Finance and Banking (AI in fraud detection, algorithmic trading, and risk management)
  • Military and Defense Studies (AI in autonomous weapons, cybersecurity threats, and geopolitical strategy)

By engaging with these key streams of research, this section will foster an interdisciplinary approach to understanding AI’s role in shaping modern societies, ensuring that its advancements align with human values, ethical responsibility, and sustainable development.

✅ Submission Guidelines:

  1. Prepare your manuscript according to the journal’s formatting requirements.

    • Include title, abstract, keywords, author affiliations, and references.

    • The article must be original and not under review elsewhere.

  2. Register on the submission portal:
    ➡️ https://sci-cult.com/menuscript/index.php/cult/user/register

  3. Submit your paper through the portal after registration.

  4. ️ IMPORTANT:
    While submitting, please mention clearly in the comments section that your submission is for the special issue titled:
    ➤ “ AI and Society: Navigating the Intersection of Technological Innovation, Ethics, and Global Human Values”

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