Artificial
Intelligence's Impact.
Fostering a deep understanding of how AI technologies influence economics, politics, culture, and human behaviour — and how we can shape this transformation responsibly.
Core Pillars
The four principles that guide our approach to understanding and teaching the impact of AI on society and human systems.
Ethical Considerations
Developing AI responsibly by rigorously addressing bias, fairness, privacy, and accountability at every stage of design and deployment.
Social Science Applications
Using AI techniques for research, data analysis, and evidence-based interventions in education, public health, and social policy.
AI Literacy
Creating a workforce able to critically evaluate AI systems, understand their limitations, and actively shape responsible innovation.
Interdisciplinary Collaboration
Bridging AI specialists and social scientists for a holistic understanding of how intelligent systems interact with human society.
Analysing trends, sentiment, and network structures within complex social media ecosystems to understand mass behaviour and public discourse.
Personalising learning experiences, identifying individual student needs, and creating adaptive interactive tools for more equitable educational outcomes.
Advanced disease prediction, accurate diagnosis support, and personalised treatment planning — transforming how healthcare systems serve communities.
Optimising traffic flow, resource allocation, and environmental management to improve quality of life in rapidly growing cities.
Training Initiatives
Bridging the gap between technology and society through structured, collaborative, and research-driven learning environments.
Master's Programmes
Specialised degrees in "AI and Society" or "Human and Artificial Intelligence" — equipping graduates for leadership at the intersection of technology and human systems.
Research Centres
Dedicated interdisciplinary groups studying the social, cultural, economic, and political implications of AI — producing evidence for policy and practice.
Conferences & Events
Forums bringing together experts, practitioners, and policymakers to discuss the social and ethical implications of AI and coordinate responsible innovation.
Strategic Partnership
The Luso-Anglo German African Institute (LAGA-IVCR) collaborates with top international AI institutions to deliver comprehensive training. We target university lecturers, students, and government parastatals to enhance AI knowledge and promote digital education across Cape Verde and Africa.
Algorithms, statistical processing, and real-world data pipelines.
Analysing and generating human language through machine intelligence.
Enabling machines to interpret, analyse, and act on visual information.
Ensuring fairness, transparency, and evaluating societal consequences.
AI Partnerships
AI at Work in Society
Real-world applications where artificial intelligence is reshaping how humans learn, collaborate, and make decisions.
Available Courses
Structured programmes covering the technical, ethical, and social dimensions of artificial intelligence.
Data analysis, algorithms, and statistical modelling for real-world applications.
Text analysis, language models, and conversational AI systems.
Responsible development, bias mitigation, and governance frameworks.
Evaluating AI consequences on communities, policy, and social equity.