Unlock the potential of ai for social good
This tailor-made course is available upon request and may be customized for local, national, and international organizations. Contact us to learn more.
Our personal and professional lives are shaped by technology. But, the applications, stories, and debates around artificial intelligence are too optimistic about its promises and risks. Moving forward, there is a clear need to broaden the benefits of digital transformation by ensuring equal access for all. In response to these needs, the International Training Centre of the ILO’s Learning Innovation team leads and partners in the areas of the future of learning, the future of work, and technological change. As an international platform for dialogue and interactive learning, the Centre convenes thought leaders and learners in pursuit of these goals.
The AI Lab is not a traditional course. It’s not a MOOC, nor is it a standard online community of practice. It is a creative, human-centered experiment based on your objectives or on the vision that you would like to advance in your project, organization or institution.
In times of disruption, leapfrogging with the right technologies can bring about transformational change. Since data will drive progress toward sustainable development in the future, we introduce participants to ideas like exponential change, neural networks, pattern recognition and machine learning.
Once participants learn the new vocabulary, they will start a learning project trajectory with three dimensions:
Vision and strategy development
Portfolio of solutions
This is not an AI solutions trajectory, but it does aim to raise awareness about a fast-changing landscape. The AI Lab is the beginning of a long term exploration of what kind of transformational journey you could start.
“Our intelligence is what makes us human, and AI is an extension of that quality.”
– Yann LeCun
Building on design thinking methods, the AI Lab simulates fast and iterative sprints to build a minimum viable product (MVP) with elements of AI, ML or automated decision capacity.
Four thematic webinars support knowledge sharing and engagement with global experts to design specific AI data, cloud, and intelligence topics of choice.
Participants will also be able to talk and learn from one another, through informal online coffee breaks among groups of interest.
Phase 1 (2 weeks) - Discovery and AI myths
Phase 2 (2 weeks) - Interpretation and issue identification
Phase 3 (2 weeks) - Ideation and AI-dea pitch
Phase 4 (2 weeks) - Experimentation and building prototype
Phase 5 (2 weeks) - Evolution and testing
Two peer-testing sessions and various coffee meet ups
Phase 6 (2 weeks) - Co-creation and learning