In this session we’ll walk through six core principles for using AI responsibly in a not-for-profit context. We’ll cover accountability, bias, risk, transparency, reliability and control. It's designed for NFP staff and leaders who are already curious about AI but want a clear framework for using it safely. You'll explore real-world case studies, learn how to classify AI tasks by risk level and leave with a practical checklist you can act on the very next day.
本課程旨在讓學員學會:
Identify the six core principles of responsible AI use and apply them to your organisation's context.
Recognise the risks of AI – including bias, hallucinations and data privacy – and know how to manage them in a not-for-profit setting.
Apply a practical checklist of immediate actions to build responsible AI governance in your organisation.
Matt Lawrence is a learning and development leader at Infoxchange, helping not-for-profits build practical capability in digital and AI-enabled ways of working. Blending experience in digital learning design with a Graduate Certificate in Cyber Security, Matt brings a unique, risk-aware lens to capability building. He helps organisations adopt new tools with confidence, balancing the drive for innovation with the need for security.