Selected and peer reviewed papers will be considered for inclusion in Scopus-indexed proceedings; Springer and WoS collaborations under discussion. Selected and peer reviewed papers will be considered for inclusion in Scopus-indexed proceedings; Springer and WoS collaborations under discussion.

IC HAILS-2026

IC HAILS-2026

ABOUT THE CONFERENCE
ABOUT THE CONFERENCE

The convergence of Artificial Intelligence (AI), digital transformation, sustainability and human-centered innovation is transforming higher education, research, business, industry, governance and society. While AI has accelerated access to knowledge and automated routine tasks, it has posed challenges related to ethics, equality, employability, data privacy, climate resilience, digital inclusion and responsible innovation. Today, higher education institutions are no longer expected merely to impart knowledge; they must cultivate adaptive, interdisciplinary and socially responsible graduates to address complex social challenges. This transition demands a new pedagogical paradigm – Pedagogy X.0 – that extends beyond technology-enabled learning to integrate human intelligence, artificial intelligence, sustainability, experiential learning, systems thinking and collaborative problem-solving. Pedagogy X.0 envisions intelligent learning ecosystems where humans and AI co-create knowledge, innovation is guided by ethical principles and education serves as a catalyst for sustainable development. It encourages collaboration across disciplines to develop practical, scalable and technology-enabled solutions for pressing societal and environmental issues.

The conference ‘IC-HAILS 2026’ provides a platform for academics, researchers, industry leaders, policymakers, entrepreneurs, innovators and students to exchange ideas, showcase research and foster partnerships that advance sustainable, AI-enabled futures.

Institutions across the globe are grappling with a widening gap between the pace of technological change and the pace of pedagogical and policy reform. Curricula designed for a pre-AI era struggle to prepare graduates for hybrid human-AI jobs; assessment systems designed for standardised testing are not well-equipped to evaluate creativity, ethical reasoning and systems thinking; and sustainability is too often treated as an add-on module rather than a design principle. IC-HAILS 2026 aims to address this gap by convening the research, industry, government and policy boards needed to co-design pedagogical, technological and governance frameworks that are rigorous, ethical and scalable.

The conference is distinguished by its integrated perspective, viewing education, technology, and sustainability as a unified, interdependent ecosystem rather than as separate or parallel agendas. Its six interdisciplinary tracks, doctoral symposium, startup and innovation challenge and policy dialogue are designed to move beyond paper presentations toward tangible outputs – validated frameworks, prototype solutions, mentorship pathways and policy recommendations – that participating institutions, startups and government bodies can act on directly.

Target Audience: University faculty, doctoral scholars and students across disciplines; AI, data-science and engineering researchers; industry leaders in technology, manufacturing, healthcare and finance; policymakers and regulators working on AI governance and education policy; entrepreneurs and startup founders in EdTech, AgriTech, ClimateTech and HealthTech; and development-sector and civil-society practitioners engaged in sustainability and inclusion.

Objectives
Thematic Tracks

Track 1:

Agentic AI and Future Learning Ecosystems
  • AI agents in teaching, learning and assessment
  • Curriculum innovation and competency-based education
  • Learning analytics and intelligent assessment systems
  • Experiential, immersive, and personalized learning
  • Future skills, ownership, leadership and lifelong learning
  • Ethics and equity in AI-driven education

Track 2:

Intelligent Enterprises and Digital Transformation
  • Agentic AI for business decision-making
  • AI copilots and autonomous workflows
  • Prompt engineering for productivity and innovation
  • Business analytics and decision intelligence
  • Intelligent automation and Industry 5.0
  • AI governance and trust in enterprise transformation

Track 3:

Sustainable Technologies, Climate Action and Smart Agriculture
  • AI for sustainability and ESG performance
  • Climate technologies and environmental resilience
  • Precision agriculture and AgriTech innovation
  • Circular economy and sustainable supply chains
  • Smart cities, energy and resource management
  • Technology-driven solutions for the SDGs

Track 4:

Management Innovation, Entrepreneurship and the Digital Economy
  • AI-enabled business models
  • Digital marketing and customer intelligence
  • FinTech, digital finance and platform economies
  • Entrepreneurship, startups and innovation ecosystems
  • Strategic leadership in the AI era
  • Organizational transformation and change management

Track 5:

Responsible AI, Governance, Society and Public Policy
  • Ethical and responsible AI
  • AI regulation and governance frameworks
  • Digital trust, privacy and cybersecurity
  • AI in healthcare and public services
  • Social innovation, inclusion and digital citizenship
  • Policy innovation for sustainable development

Track 6:

Human–AI Collaboration, Communication and Creative Innovation
  • Human-centered and collaborative intelligence
  • AI-assisted communication and managerial productivity
  • Design thinking and innovation management
  • Creative AI, media and digital storytelling
  • Language technologies and knowledge management
  • Cross-cultural and multilingual AI applications

Track 6:

Human–AI Collaboration, Communication and Creative Innovation
  • Human-centered and collaborative intelligence
  • AI-assisted communication and managerial productivity
  • Prompt design for creative, educational and research applications
  • Design thinking and innovation management
  • Creative AI, media, and digital storytelling
  • Language technologies and knowledge management
Track 1: Agentic AI & Quantum Synergy
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Track 2: Sustainable Innovation & Regenerative Business Models
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Track 4: Future of Work & Workforce Intelligence
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Track 5: Governance, Policy & Ethical AI
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Track 6: Innovation Labs & Applied Research
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Track 6: Innovation Labs & Applied Research
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Track 5: Governance, Policy & Ethical AI
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Track 4: Future of Work & Workforce Intelligence
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Chief Patrons

Picture of Prof. (Dr.) Mukti kanta Mishra

Prof. (Dr.) Mukti kanta Mishra

President, CUTM

Picture of Prof. D.N. Rao

Prof. D.N. Rao

Vice- President CUTM

Picture of Prof. (Dr.) Supriya Pattanayak

Prof. (Dr.) Supriya Pattanayak

Vice-Chancellor CUTM

Patrons

Picture of Prof. (Dr.) Biswajit Mishra

Prof. (Dr.) Biswajit Mishra

Pro-Vice-Chancellor, CUTM

Picture of Dr. Ajay Nayak

Dr. Ajay Nayak

Pro VC, CUTM

Picture of Dr. Rabi Narayan Subudhi

Dr. Rabi Narayan Subudhi

Adjunct Professor, CUTM

Picture of Dr. Ashok Misra

Dr. Ashok Misra

Professor & Head, Center for Computational Mathematics, CUTM

Picture of Prof. (Dr.) Biswajit Mishra

Prof. (Dr.) Biswajit Mishra

Pro-Vice-Chancellor, CUTM

Picture of Dr. Ajay Nayak

Dr. Ajay Nayak

Pro VC, CUTM

Picture of Dr. Ashok Misra

Dr. Ashok Misra

Professor & Head, Center for Computational Mathematics, CUTM

CONVENERS

Picture of Dr. Anita Patra

Dr. Anita Patra

Registrar, CUTM

Picture of Dr. Prajna Pani

Dr. Prajna Pani

The argument in favor of using filler text goes something like this: If you use real content in the Consulting Process, anytime you reach a review point you’ll end up reviewing and negotiating the content itself and not the design.

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