Theme: Responsible Artificial Intelligence For Sustainable Digital Transformation
- KUNGU, KAMPALA, UGANDA
- 21st – 23rd September 2026
ICTM 2026 Background
The rapid advancement of Artificial Intelligence (AI) and other emerging digital technologies is transforming economies, governance systems, industries and business and social institutions across the globe. These technologies are redefining how societies produce knowledge, deliver services, manage resources and solve complex development challenges. However, while digital innovation offers enormous opportunities, it also raises profound ethical, legal, social and governance questions that require careful consideration and responsible action. Therefore, universities, governments, businesses, industries and civil society must collaborate to ensure that digital transformation is ethical, inclusive, secure and sustainable.
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 |
ICTM-2026 calls for original academic papers and case studies under the following 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.
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.
Accepted Peer Reviewed Conference papers shall be published in a special Issue on AI with an ISBN Number. A few selected high quality conference papers will be published in a special issue of International Journal of Technology and Management (IJOTM: ISSN 2518-8623).
Notes:
- Submitted papers must NOT have been previously presented, published or accepted for other publications.
- Abstracts will be published in the conference programme book.
- The students who wish to present at the colloquium: Individual proposals should include a 250-word abstract, accompanied by a short bio, name of institution, contact email and phone numbers of presenters.
