About Conference

After the resounding success of the International Conference on Recent Developments in Management, Technology, and Entrepreneurship held on April 27-28, 2024, we are thrilled to announce another international conference on “Human Capital, Innovation and Sustainability (ICHIS-26).

In the era of rapid technological transformation, where Artificial Intelligence is reshaping the way economies function and organizations operate, the importance of human capital and innovation has become more significant than ever. Recognizing this shift, the International Conference on Human Capital, Innovation and Sustainability (ICHIS–2026) on the theme “Human Capital and Innovation for Sustainable Economic Growth in the Era of AI” aims to bring together academicians, researchers, industry experts, policymakers, and scholars to engage in meaningful dialogue and knowledge exchange.

The conference seeks to explore how skilled and adaptable human resources, supported by innovative and sustainable practices, can drive balanced and future-oriented growth in an AI-driven world. It provides a collaborative platform to discuss emerging challenges, share research insights, present case studies, and develop strategies that encourage responsible AI integration, inclusive development, and innovation-led progress.

OBJECTIVES OF CONFERENCE
  • To explore the role of human capital development in the AI-driven economy.
  • To showcase innovative practices and research contributing to sustainable growth.
  • To facilitate interdisciplinary dialogue between technology, management, economics, and public policy.
  • To offer actionable insights into building inclusive innovation ecosystems.
  • To inspire collaboration between academia and industry for responsible AI implementation

Theme

Human Capital and Innovation for Sustainable Economic Growth in the Era of AI

CONFERENCE TRACKS

TRACK 1: AI, Human Capital, and the Future of Work

TRACK 2: Innovation and Entrepreneurship in the Age of AI

TRACK 3: Education, Skills Development, and Lifelong Learning

TRACK 4: Innovation-Driven Economic Growth in the AI Era

Reskilling & upskilling the workforce for an AI-driven economy

Human-AI collaboration in workplaces

Job displacement vs. job creation: Balancing automation and employment

The role of leadership in managing AI-integrated teams
AI-driven startups and disruptive business models

Fostering a culture of innovation in traditional industries

Venture capital and funding for AI-based sustainable enterprises

Case studies of successful AI-powered innovations
Reforming education systems for an AI-augmented future

Digital literacy and AI competency frameworks

Corporate training & micro-credentials for the AI era

Bridging the digital divide: Inclusive education strategies
AI in SME development and entrepreneurial ecosystems

Intelligent automation and productivity enhancement

AI-supported innovation in traditional and digital industries

Bridging the digital divide through inclusive AI-driven growth

TRACK 5: AI, Policy, and Sustainable Economic Growth

TARCK 6: Corporate Strategies for Human-Centric AI Adoption

TRACK 7. AI, Sustainability, and Green Innovation

TRACK 8. Global Perspectives on AI and Human Capital

Government policies for responsible AI adoption

AI and the gig economy: Labor rights and social protection

Measuring economic growth in the AI era: New metrics and indicators

Public-private partnerships for AI-driven development
Talent management in the age of automation

Employee well-being and mental health in AI-intensive workplaces

Corporate social responsibility (CSR) and ethical AI practices

Case studies of businesses successfully integrating AI with human capital
How AI can drive sustainable business practices

Smart cities, renewable energy, and AI-powered environmental solutions

Circular economy and AI-driven resource optimization

Balancing technological growth with ecological sustainability
Cross-country comparisons of AI readiness and workforce adaptation

Global Talent mobility in the era of AI

The role of international organizations in shaping AI policies

Collaborative innovation across borders