AI Foundations for Social Impact Measurement & Practice (L1)

USD 0.00

Next course date: Tuesday 28 July 2026

This foundational training course for social impact practitioners helps build confidence, AI literacy, and ethical grounding to responsibly and effectively use AI for common social impact functions including research, data analysis (qualitative and quantitative), engagement, evaluation, SROI, and report preparation.

Who it’s for

·       Social impact professionals

·       SIA practitioners, evaluators

·       Community engagement specialists

·       Local government staff

·       Projects or organisations preparing for digital uplift within the infrastructure, energy & development sectors

Core learning topics:

  • Common AI terms & available tools

  • AI use cases in social impact functions (with international case studies)

  • The strengths/limits of LLMs

  • Basics of prompt engineering and agentic AI

  • Risks & ethical issues around AI & social impact

  • AI data use policies, informed consent, and data sovereignty

  • Social impacts of AI data centres

  • Applying responsible AI principles


Next course date: Tuesday 28 July 2026

This foundational training course for social impact practitioners helps build confidence, AI literacy, and ethical grounding to responsibly and effectively use AI for common social impact functions including research, data analysis (qualitative and quantitative), engagement, evaluation, SROI, and report preparation.

Who it’s for

·       Social impact professionals

·       SIA practitioners, evaluators

·       Community engagement specialists

·       Local government staff

·       Projects or organisations preparing for digital uplift within the infrastructure, energy & development sectors

Core learning topics:

  • Common AI terms & available tools

  • AI use cases in social impact functions (with international case studies)

  • The strengths/limits of LLMs

  • Basics of prompt engineering and agentic AI

  • Risks & ethical issues around AI & social impact

  • AI data use policies, informed consent, and data sovereignty

  • Social impacts of AI data centres

  • Applying responsible AI principles