UGAP™ International Congress
Ethical AI • Humanitarian Innovation • Sustainable Peace • Global Collaboration
Event Overview
The UGAP™ International Congress is a global, learning-centred professional development congress designed to equip participants with measurable knowledge, applied skills, and ethical frameworks for responsible innovation in a rapidly evolving digital and humanitarian landscape.
Delivered under the UHF Global Affiliated Partnership (UGAP™) framework, the Congress brings together professionals, educators, entrepreneurs, researchers, and innovators to engage in structured learning experiences focused on ethical AI, humanitarian innovation, sustainable peace, and global collaboration.
This is an accredited CPD / DPD Dual-Standard learning event, aligned with international expectations for continuing professional development, including defined objectives, relevance, learner engagement, assessment, reflection, and documented evidence.
All learning content is aligned with the United Nations Sustainable Development Goals (SDGs) and the Universal Humanity Foundation (UHF) Canada mission of “Technology with Humanity.”
Who the Congress Is For
The UGAP™ International Congress is suitable for individuals and organizations engaged in or preparing for roles in:
Learning Design & Delivery
Learning Model:
- Structured learning
- Applied skill development
- Guided reflection
- Action-oriented planning
Delivery Mode:
- Hybrid (Live + Online)
Total Duration:
- 4 Hours Structured Learning
- (Expandable to 6 CPD Hours with workshops or extended labs)
Assessment & Evidence of Learning
Assessment methods are aligned with CPD audit requirements and DPD standards.
Assessment Tools:
- Knowledge check / short quiz
- Guided reflection log
- 30-day personal or institutional impact plan
Evidence Retention:
- Minimum 5 years (digital record)
CPD Credit Summary
Component
CPD Hours
Modules 1–6
4.0 CPD Hours
Optional Workshops / Labs
+2.0 CPD Hours
Total Available
Up to 6 CPD Hours
Certification & Verification
- Certificate Issued: CDP DUAL International Office, UK
- Verification: Online verification available
- Issuing Framework: UGAP™ / UHF Canada (through accredited CPD partners)
- Certificate Use: Professional portfolios, CPD audits, employer reporting
Module Breakdown & Learning Outcomes
Module 1: Human Security & Ethical AI Innovation Type: Foundational Knowledge Module
Duration: 45 minutes
CPD Credits: 0.75
Module Description:
Introduces core concepts of human security, ethical innovation, and digital responsibility. Participants explore how AI and emerging technologies affect wellbeing, institutions, and societal resilience.
Learning Outcomes
Participants will be able to:
- Explain the relationship between human security, ethics, and AI
- Identify societal risks and opportunities linked to emerging technologies
- Recognize institutional and leadership responsibilities in ethical innovation
Module 2: Human-Centered Innovation for a Safer World
Type: Applied Ethics & Governance Module
Duration: 45 minutes
CPD Credits: 0.75
Module Description:
Focuses on innovation as a moral and governance responsibility. Participants learn to apply human-centered design, accountability frameworks, and ethical reasoning to innovation decisions.
Learning Outcomes
Participants will be able to:
- Define principles of human-centered and ethical innovation
- Evaluate innovation strategies using governance criteria
- Apply ethical reasoning in professional decision-making
Module 3: Cyber Resilience in the Age of Accelerating AI
Type: Risk & Systems Module
Duration: 40 minutes
CPD Credits: 0.65
Module Description:
Explores cybersecurity and systemic resilience in AI-enabled environments. Emphasis is placed on infrastructure protection, ethical data governance, and predictive risk awareness.
Learning Outcomes
Participants will be able to:
- Identify AI-related cybersecurity and systemic risks
- Explain the role of resilient digital infrastructure
- Apply risk-awareness principles to organizational or policy contexts
Module 4: Governance & Compliance in the AI Era Type: Risk & Systems Module
Duration: 40 minutes
CPD Credits: 0.65
Module Description:
Builds governance literacy around AI, data, and digital systems. Participants examine compliance, transparency, accountability, and cross-border regulatory alignment as trust enablers.
Learning Outcomes
Participants will be able to:
- Understand foundational AI governance and compliance principles
- Assess how transparency and accountability build trust
- Apply governance-aware thinking to international initiatives
Module 5: Global Collaboration – Ethical AI Integration & Shared Impact
Type: Collaboration & Partnership Design Module
Duration: 40 minutes
CPD Credits: 0.65
Module Description:
Develops participant capacity to design ethical, secure, and human-centered global collaborations. Focus includes shared responsibility, trust architecture, and digital safety.
Learning Outcomes
Participants will be able to:
- Identify enablers and barriers to ethical global collaboration
- Understand shared-responsibility partnership models
- Design collaboration strategies aligned with ethical principles
Module 6: Reflection, Integration & Impact Planning Type: Collaboration & Partnership Design Module
Duration: 30 minutes
CPD Credits: 0.55
Module Description:
Consolidates learning through guided reflection and structured review. Participants translate learning into a short-term, measurable personal or institutional action plan.
Learning Outcomes:
Learning Outcomes
Participants will be able to:
- Synthesize learning across all modules
- Reflect on professional responsibilities in ethics and governance
- Develop a 30-day actionable impact roadmap
The UGAP™ International Congress is not a policy forum or roundtable—it is a learning-driven, outcomes-based professional development experience.
It supports individuals and institutions in building the ethical competence, collaborative capacity, and practical frameworks required to shape technology, innovation, and global cooperation in service of human dignity, peace, and sustainable futures.
