Next course date: Tuesday, 24 November 2026
This foundational training course for social impact and stakeholder engagement 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), stakeholder engagement, evaluation, SROI, and report preparation.
Who it’s for
· Social impact professionals
· SIA & social safeguard practitioners
· Community & stakeholder engagement specialists
· Local government staff
· Projects or organisations within the infrastructure, energy & development sectors
Core learning topics:
Common AI terms & capabilities
AI tools and use cases for social impact & stakeholder engagement functions
The strengths/limits of LLMs
Basics of prompt engineering and agentic AI
Risks & ethical issues around AI & social impact
Responsible practice elements such as AI data use policies, informed consent, and data sovereignty considerations
Social impacts of AI data centres
Next course date: Tuesday, 24 November 2026
This foundational training course for social impact and stakeholder engagement 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), stakeholder engagement, evaluation, SROI, and report preparation.
Who it’s for
· Social impact professionals
· SIA & social safeguard practitioners
· Community & stakeholder engagement specialists
· Local government staff
· Projects or organisations within the infrastructure, energy & development sectors
Core learning topics:
Common AI terms & capabilities
AI tools and use cases for social impact & stakeholder engagement functions
The strengths/limits of LLMs
Basics of prompt engineering and agentic AI
Risks & ethical issues around AI & social impact
Responsible practice elements such as AI data use policies, informed consent, and data sovereignty considerations
Social impacts of AI data centres