Conference Dates: 21st – 23rd September 2026
Venue: Universal Technology and Management University (UTAMU), Kungu Campus, Wakiso District, Uganda
Conference mode: Hybrid (Physical & Virtual)
Conference Theme: Responsible Artificial Intelligence for Sustainable Digital Transformation
About the Conference
As artificial intelligence and emerging digital technologies continue to reshape economies, governance systems, and social institutions, there is an urgent need for responsible, ethical, and inclusive approaches to digital transformation. ICTM 2026 provides a global interdisciplinary platform to explore how AI can be developed and deployed responsibly to advance sustainable development. Based on this, The International Conference on Technology and Management 2026 (ICTM 2026), hosted by Universal Technology and Management University (UTAMU), invites scholars, researchers, practitioners, policymakers, and innovators to submit original research papers for presentation. ICTM 2026 offers a unique opportunity to shape the future of responsible artificial intelligence and sustainable digital transformation. By bringing together diverse voices from across disciplines and sectors, the conference aims to foster innovation, ethical reflection, and collaborative action for a better digital future.
Conference Objectives
ICTM 2026 aims to:
- Foster interdisciplinary dialogue on responsible AI and emerging technologies
- Promote research and innovation in technology and management
- Strengthen collaboration between academia, industry, government, and civil society
- Examine ethical, legal, and governance frameworks for AI
- Explore AI-driven solutions to global development challenges
- Generate policy recommendations for sustainable digital transformation
Conference Tracks
We invite submissions aligned with the following thematic tracks
Track 1: Responsible, Ethical, and Trustworthy AI
- Ethical frameworks for AI development and deployment
- Explainable, transparent, and trustworthy AI systems
- Algorithmic bias, fairness, accountability, and inclusion
- Human-centered AI and societal implications
- Responsible AI governance, standards, and compliance
Track 2: AI in Education, Research, and Smart Learning
- AI-enhanced teaching and learning environments
- Intelligent tutoring systems and adaptive learning platforms
- Learning analytics and student performance prediction
- Generative AI in education, research, and academic writing
- Smart classrooms and digital learning ecosystems
- Academic integrity and ethical use of AI in education
Track 3: AI, Law, Governance, Privacy, and Digital Rights
- Legal and regulatory frameworks for AI
- Liability and accountability in AI-driven systems
- Intellectual property in AI-generated content
- AI in legal practice and legal technologies
- Digital rights, surveillance, and human rights in the AI era
- AI-driven cybercrime, cybersecurity, Cyber Law
- AI governance, accountability, and public system readiness
Track 4: AI for Sustainable Development, Health, and Smart Societies
- AI for climate action and environmental sustainability
- AI-led smart agriculture, food security, and natural resource management
- AI in healthcare, diagnostics, and digital health systems
- AI-enabled solutions for sustainable and resilient societies
- Africa in a complex global context, re-thinking Sustainable development Goals
Track 5: AI in Management and Administration
- AI in governance, public administration, and public service delivery
- Predictive Decision-Making – ML and predictive analytics for strategic business decisions
- AI-driven strategic planning and organizational strategy formulation
- AI in operations/ supply chain optimisation, demand forecasting and logistics management
- Customer service management using Generative AI
- Management of Human Resources, performance analysis & Organizational Change
- The impact of AI on work practices, employee roles, and cultural change
- From AI Adoption to Institutional Readiness: Governing Human and System Capability for Responsible Artificial Intelligence
Track 6: AI in Business Auditing and Accounting
- AI-Enhanced Auditing – detecting anomalies in financial statements, and real-time audit procedures
- Automation of auditing and accounting tasks
- Utilizing AI for interpreting tax regulations and enhancing accuracy in regulatory reporting
- Predictive Financial Analysis using deep learning for time series forecasting
- AI-Powered Risk Management and utilizing Neural Networks for credit risk modelling
- AI4ESG (Environmental, Social, and Governance
- Integrating AI and machine learning into strategic business decisions and management accounting practices
Submission Guidelines
- Abstract Length: 250–300 words
- Full Paper Length: 4,000–8,000 words
- Format: APA (latest edition)
- Language: English
- Submission Platform: https://conference.utamu.ac.ug/submit-an-article/
Submissions must be original, unpublished, and not under review elsewhere.
Important Dates
| SCHEDULED ACTIVITIES | SCHEDULED DATES |
| Abstract submission deadline | 15th May, 2026 |
| Abstract acceptance notification | 30th May, 2026 |
| Full paper submission deadline | 30th June, 2026 |
| Full paper review feedback / acceptance notification | 20th July, 2026 |
| Early registration deadline | 31st July, 2026 |
| Final registration deadline | 15th August, 2026 |
| Camera-ready paper submission | 20th August, 2026 |
| Conference dates | 21st – 23rd September, 2026 |
Publication Opportunities
- All accepted papers will be included in peer-reviewed conference proceedings
- Selected high-quality papers will be considered for journal publication https://ijotm.utamu.ac.ug/index.php/ijotm/about
- Policy briefs and conference outputs will be disseminated to stakeholders
Who Should Participate
- Academics and researchers
- Graduate students and early-career scholars
- Industry professionals and business leaders
- Technology innovators and entrepreneurs
- Policymakers and regulators
- Legal experts and cybersecurity specialists
- Development partners and civil society organizations
Why Participate?
- Present your research on an international platform
- Engage with global experts in AI and digital transformation
- Build research and professional networks
- Contribute to policy and innovation discussions
- Gain visibility and publication opportunities
Contact & Further Information
Dr. Tabitha Naisiko
Coordinator ICTM Organizing Committee
ICTM Secretariat
Universal Technology & Management University
Plot 6 and 8, Erisa Road Kiswa, Bugolobi
P.O. BOX 7330, Kampala – Uganda
Email: ictm@utamu.ac.ug