@Stake AI Edition

@STAKE AI Edition is an interactive stakeholder simulation set within the fictional Meridian Project, where an organisation is introducing artificial intelligence across its workforce and services. Players explore an interactive organisational map, examine evidence and consider perspectives from employees, service users, management, technology providers, privacy and data governance specialists, and regulatory interests. Across six connected decisions, players weigh competing priorities involving access to AI, data privacy, human oversight, accountability, workforce impacts and the expansion of AI across the organisation. Their choices influence stakeholder impacts, trigger new Stakeholder Pulse reactions and create consequences that may emerge later in the simulation. An unexpected AI failure challenges players to reconsider earlier decisions and balance innovation with safety, trust and responsibility. With Senior Secondary and Higher Education learning pathways, @STAKE AI Edition encourages learners to analyse evidence, recognise trade-offs and develop a defensible judgement about the responsible adoption and governance of artificial intelligence in organisations.

Students will: identify and compare the priorities, concerns and values of different stakeholders affected by the introduction of artificial intelligence analyse evidence from organisational information, AI system performance and stakeholder perspectives before making decisions evaluate ethical, social, economic, privacy and workforce trade-offs associated with AI adoption make and justify decisions in complex situations where there is no single correct solution examine how AI decisions can create different benefits, risks and pressures for employees, service users, organisations and the wider community recognise that consequences may emerge over time and influence later decisions about AI governance, accountability and human oversight reflect on how their own assumptions, priorities and attitudes towards technology influence decision-making use the final analysis and report to construct and defend a judgement about the responsible and ethical adoption of artificial intelligence within an organisation

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