OUR VISION

Artificial Intelligence’s Impact

This training aims to foster a deep understanding of how AI technologies influence various aspects of society, including economics, politics, culture, and human behavior.

Futuristic humanoid robot against a blue network pattern backdrop, showcasing modern technology.

Ethical Considerations

It emphasizes the importance of developing and deploying AI responsibly, considering ethical issues such as bias, fairness, privacy, and accountability.

Social Science Applications

Social scientists are trained to use AI techniques for research, data analysis, and developing interventions in areas like education, healthcare, and social policy.

AI Literacy

The goal is to create a workforce that is AI-literate, able to critically evaluate AI systems, and contribute to shaping the future of AI in a responsible and beneficial way.

Interdisciplinary Collaboration

Training often involves collaboration between AI specialists and social scientists, fostering a holistic approach to understanding and addressing complex societal challenges.

Examples of AI applications in social sciences

  • Social Media Analysis: AI can help analyze trends, sentiment, and network structures within social media data.
  • Education: AI can personalize learning experiences, identify students’ strengths and weaknesses, and create interactive learning tools.
  • Healthcare: AI can be used for disease prediction, diagnosis, and treatment planning.
  • Urban Planning: AI can help optimize traffic flow, manage resources, and improve the quality of life in cities.

Examples of Training Programs and Initiatives

  • Master’s Programs: Some universities offer specialized master’s programs in “Artificial Intelligence and Society” or “Human and Artificial Intelligence”.
  • Research Centers: Research groups and centers are dedicated to studying the intersection of AI and social sciences.
  • Workshops and Conferences: Events are organized to bring together experts from different fields to discuss the social and ethical implications of AI.
OUR VISION
Luso-Anglo German African Institute of Vocational Training and Cultural Research and some top International Artificial Intelligence institutions and companies are partnering on Training:

LAGA-IVCR and AI INSTITUTIONS have collaborated on training programs for university lecturers, middle and higher students, private and other relevant government parastatals to enhance their AI knowledge and promote AI education, official applications and services with training inclusive.

Key Areas of Focus:

  • Machine Learning and Data Analysis: Understanding algorithms, data processing, and statistica methods.
  • Natural Language Processing (NLP): Analyzing and understanding human language.
  • Computer Vision: Enabling machines to “see” and interpret images.
  • Ethical AI Development: Ensuring that AI systems are fair, transparent, and accountable.
  • Social Impact Assessment: Evaluating the potential consequences of AI technologies on society.

Available Courses:

  • Machine Learning and Data Analysis
  • Natural Language Processing (NLP)
  • Ethical AI Development
  • Social Impact Assessment
An elderly scientist contemplates a chess move against a robotic arm on a chessboard.