AI & Data Foundations

Artificial Intelligence is a transformative technology impacting social innovation and development, offering powerful tools and challenges related to equity, access, and ethical use across various sectors.

Attention and Transformers have revolutionized AI by enabling models to focus on relevant data parts and capture long-range dependencies, powering applications in language, health, education, and humanitarian response.

Benchmarking and leaderboards evaluate AI models, influencing research, deployment, and social impact. Expanding benchmarks to include diverse contexts ensures progress benefits all communities, especially underrepresented ones.

Computer Vision enables machines to interpret visual data, supporting applications from healthcare to agriculture and humanitarian efforts by transforming images into actionable insights for communities worldwide.

Deep Learning uses multi-layered neural networks to analyze complex data, enabling advances in AI applications across healthcare, agriculture, education, and humanitarian efforts while posing challenges in resource demands and transparency.

Diffusion Models are transformative AI tools that generate high-quality images, audio, and video by reversing noise addition. They enable creative, ethical content generation across sectors like education, health, agriculture, and humanitarian aid.

Embeddings represent complex data as numerical vectors, enabling AI to capture relationships and similarities. They power applications in social innovation, education, health, and humanitarian work by organizing knowledge and supporting decision-making.

Foundation Models are large-scale AI systems adaptable across tasks, enabling advanced applications but raising concerns about equity, bias, and sustainability in social innovation and international development.

Generative AI creates new content like text and images, transforming content creation across sectors by enabling faster, adaptable, and localized outputs while raising ethical and quality considerations.

Guardrails for AI are essential safeguards and policies that ensure AI systems operate safely and ethically, especially in critical sectors like health, education, and humanitarian work.