ICAIR Call for Papers

• Academic Papers
• Case Studies
• Work in-Progress Papers
• PhD Papers
• Masters Papers
• Posters and Presentations
• Non- Academic or Practitioner Contributions

Aims and Scope

The International Conference on AI Research (ICAIR) is an opportunity for academics, practitioners, and consultants from around the world who are involved in the study, management and development of artificial intelligence related issues in education, in business or in the public sector to publish and present their research. There are several strong strands of research and interest that are developing in the area including the consequences of AI and robotics on work and society, the governance of AI, risks and benefits of AI, ethical dilemmas related to AI, the employment of Chatbots and GenAI. We also welcome applications of AI to solving some of the World’s global challenges such as to improve the health and wellbeing of children and young people in growing urban environments around the world; to help civilisation migrate from hydrocarbons to non-fossil sources of energy and other activities to mitigate the climate crisis; to contribute to the continued eradication of extreme poverty in the World.

Key Topics

• • • • • The consequences of AI and robotics on work and society
        • The governance of AI and AI in governance
        • Regulations for AI safety
        • The future of the professions
        • Enabling knowledge networks with cognitive computing and other technologies
        • Ethical and acceptable social behaviours
        • Organisational and social impact of AI
        • How can AI explain its thinking?
        • Legal services
        • Algorithmic bias in AI
        • Quantum AI
        • Further applications of AI including:
           
          • GenAI and AI Chatbots
          • Fintech and the financial services industry
          • Life sciences and healthcare
          • Utilities and transport management services
          • In the development of Smart-cities
          • In government
          • In education and training
          • In gaming
          • In scientific research
          • In healthcare
          • In marketing
        • Collaborative robots and human-robot interaction
        • Roboethics
        • Exploiting robotics in educational praxis
        • Society 5.0

Mini Tracks

Experts in the field proposed mini tracks on the following topics. Papers accepted on these topics after the double-blind peer review process will be presented as mini tracks at the conference and are also published in these proceedings. 

Governing AI: Organizational Adaptation and Societal Alignment in the Age of AI
Mini Track Chair: Mitt Nowshade Kabir, Trouvus.com - An AI consulting company. Adjunct professor of AI and Digital Transformation, EMLV, Paris, France

Artificial Intelligence has transcended the realm of specialized tools, exhibiting capabilities that approach human-level problem-solving across diverse domains. Foundational models have evolved into highly adaptable systems integrated into the core functions of businesses, governments, and daily life. This transition marks a pivotal moment: the primary challenge is no longer whether AI can perform sophisticated tasks but how institutions—from corporations and universities to nations and international bodies—can effectively manage, govern, integrate, and align AI with enduring human values and societal well-being. The increasing AI capabilities necessitate a profound rethinking of organizational structures, management practices, economic assumptions, educational paradigms, and ethical frameworks. It presents unprecedented opportunities for progress alongside significant disruption, inequity, and misalignment risks.   Addressing these requires a deeply interdisciplinary approach, drawing insights from management science, economics, sociology, political science, philosophy, law, and education, alongside technical understanding. This minitrack invites scholars, practitioners, and policymakers to explore the multifaceted challenges and opportunities of governing AI. We seek contributions that analyze organizational adaptation strategies, propose novel governance models, examine societal and economic impacts, articulate robust ethical frameworks, and explore pathways for ensuring that the trajectory of AI development remains beneficial for individuals, businesses, and society. The focus is on actionable insights and theoretical frameworks relevant to navigating the complex relationship between increasingly capable AI and the human enterprise in the workplace, marketplace, and society at large.  Topics of interest include, but are not limited to:

• Organizational Transformation & Human-AI Collaboration: New models for organizational design, leadership, and management in AI-augmented enterprises; best practices for seamless human-AI teaming in strategic decision-making, operations, and innovation; implications for corporate culture and employee engagement.
• Economic Disruption & Future of Work: Empirical studies and theoretical models on AI's impact on labor markets, job roles, wages, and productivity; assessing the viability and implications of Universal Basic Income (UBI) or alternative economic systems; strategies for fostering inclusive economic growth in an AI-driven economy.
• Ethical Frameworks & Algorithmic Accountability: Developing, implementing, and auditing robust ethical guidelines for highly autonomous AI systems operating in complex social and business environments; addressing challenges of bias, transparency, explainability, and assigning accountability for AI-driven outcomes.
• Global Governance & Risk Mitigation: Frameworks for international cooperation, standards-setting, and regulation concerning the development, deployment, and proliferation of transformative AI; strategies for mitigating dual-use risks, ensuring safety, and managing potential large-scale or existential threats.
• Adapting Education & Lifelong Learning: Reimagining educational curricula and pedagogical approaches (from primary to higher education and vocational training) to equip individuals with the skills and critical thinking necessary for the AI era; effective models for large-scale workforce reskilling and continuous adaptation.
• Building Societal Trust & Public Policy: Analyzing factors influencing public perception and acceptance of advanced AI; strategies for transparent communication, stakeholder engagement, and ensuring equitable distribution of AI benefits; developing public policy that fosters innovation while safeguarding societal values.
• The Business Case for Responsible & Aligned AI: Investigating sustainable business models that embed bias and ethical considerations, societal alignment, and long-term robustness into the core strategy for AI development and deployment; exploring the competitive advantages of trustworthy AI.

AI in Education: Empowering students, educators, families and policymakers
Mini Track Chairs: Belinda Gimbert, Raeal Moore, Dean Cristol, Nicholas Giester, The Ohio State University, Columbus Ohio, USA

The integration of artificial intelligence (AI) in PreK–12 education presents both profound opportunities and significant challenges. This minitrack supports research aimed at developing a comprehensive framework for AI adoption in education, grounded in four pillars: co-creation, cognitive growth, ethical integration, and systemic innovation. Drawing on recent interdisciplinary research, we explore AI’s potential to serve as a creative partner in advancing student knowledge and skills, with applications across the curriculum, such as writing instruction, effective prompt engineering, professional development models that build teacher capacity, and strategies for incorporating AI within Multi-Tiered Systems of Support (MTSS). Emphasizing the irreplaceable qualities of human cognition, such as embodied experience, ethical reasoning, and reflective judgment, this minitrack advocates for an education system where AI augments rather than supplants humanistic learning goals. A systems-thinking perspective further informs the strategic integration of AI across curricular, instructional, and administrative domains. Join us as we engage with actionable strategies to leverage AI for fostering creativity, enhancing student support, building educators’ skills, and driving organizational innovation, all while upholding ethical and human-centered practices. Ultimately, this session aims to empower students, educators, families, administrators, and policymakers with the tools and frameworks necessary to navigate the evolving educational landscape with intentionality, creativity, and care.

• Co-Designing AI Tools with Educators and Students: Research on participatory design methods that involve teachers and learners in developing AI applications that align with humanistic and pedagogical goals.
• AI-Augmented Writing Instruction and Prompt Engineering: Innovative practices in using generative AI to support writing development, including strategies for student-driven prompt creation and critical engagement with AI outputs.
• Professional Development Models for Building AI Literacy and Capacity: Frameworks and case studies for equipping educators with the knowledge, ethics, and technical skills needed to effectively integrate AI into their teaching.
• Ethical and Inclusive Integration of AI within MTSS Frameworks: Explorations of how AI can enhance tiered interventions while safeguarding equity, transparency, and student autonomy.
• Fostering Cognitive and Creative Growth through AI Partnerships: Interdisciplinary approaches that investigate how AI can support critical thinking, creativity, and metacognition in learning environments.
• Systemic Approaches to Embedding AI Across School Operations: Systems-thinking strategies for integrating AI not only into classrooms, but also into school leadership, data management, and policy-making to drive sustainable innovation.

Artificial Intelligence in Academic and Scientific Research
Mini Track Chairs: Catherine A. Okonkwo, Federal Polytechnic Nekede, Owerri, Nigeria

This mini track focuses on the integration and advancement of Artificial Intelligence (AI) in academic and scientific research. AI is revolutionizing the research landscape by enabling automation, enhancing data interpretation, and fostering interdisciplinary innovations. From AI-assisted literature reviews to intelligent data analysis and predictive modeling, researchers now have access to tools that significantly boost productivity and accuracy. The track aims to explore the application of AI in research workflows, its role in addressing reproducibility challenges, and the ethical implications that arise. It will offer a platform for academics, data scientists, and AI practitioners to share insights, tools, and methods that are shaping the future of academic inquiry. Contributions are welcome from all disciplines showcasing the impact of AI in driving smarter, faster, and more inclusive research.

• AI-powered tools for academic research
• Machine learning in scientific experimentation
• Ethical AI in academic publishing 
• AI for enhancing research reproducibility
• Natural Language Processing in literature synthesis
• AI-driven platforms for collaborative research

AI and Ethical Norms: Rethinking Rights, Justice, and Responsibility in the Algorithmic Age
Mini Track Chairs Associate Professor Pardis M Tehrani, School of Law, University of Sunderland

As artificial intelligence continues transforming society, the urgency of developing ethically sound frameworks has never been greater. Integrating AI into sectors such as healthcare, education, law, and governance presents technical challenges and deep ethical dilemmas. From algorithmic bias and surveillance to power concentration and autonomy, AI raises fundamental questions about what is just, fair, and responsible in a world increasingly shaped by machine decision-making. This mini-track centres on the ethical dimensions of AI, moving beyond governance and compliance to explore how normative values such as justice, fairness, accountability, and human dignity must guide AI development and use. It invites a critical dialogue on how ethical norms can be translated into practice, adapted to global diversity, and embedded in rapidly evolving technologies. Recent global initiatives—such as the EU AI Act, the UNESCO Recommendation on the Ethics of AI, and the OECD/G20 AI Principles—highlight global efforts to define human-centric, trustworthy AI. Yet these efforts also reveal ethical tensions: between innovation and precaution, autonomy and control, equity and efficiency. Addressing these tensions requires a broader ethical conversation—one that engages with philosophical foundations, social impacts, and long-term consequences of AI. This mini-track welcomes critical and applied contributions that explore how ethical norms can be meaningfully integrated into the design, governance, and deployment of AI technologies. We are particularly interested in papers that move beyond abstract principles to engage with real-world challenges, sector-specific dilemmas, and emerging tensions in AI ethics. Submissions may approach the topic from diverse disciplinary perspectives, but all should aim to deepen understanding of how ethics can shape and respond to the realities of AI. Topics of interest include, but are not limited to:

• Ethical principles for responsible AI (e.g., fairness, transparency, non-maleficence)
• Embedding ethics into AI design, development, and deployment
• Algorithmic injustice and structural bias in AI systems
• The ethical implications of AI in decision-making and automation
• Global and cultural perspectives on ethical AI
• The role of ethical foresight in regulating emerging technologies
• The intersection of data ethics, surveillance, and digital rights
• Ethical risks in generative AI and autonomous systems

Important Dates