Frequently Asked Questions
Comprehensive answers to questions about the Sprint programme, Australian AI regulation, governance frameworks, and responsible AI implementation.
About the Sprint Programme
This programme is designed for executives, senior leaders, and decision-makers who are accountable for AI outcomes in their organisation. You do not need to be technical; you need to be responsible for ensuring AI is used safely, ethically, and in compliance with regulatory expectations. Ideal participants include CIOs, CDOs, Chief Risk Officers, governance leads, and board members overseeing digital transformation.
No. The programme is built for leaders, not engineers. We focus on governance frameworks, risk management, and decision-making rather than coding or model development. If you can read a board paper, you have the skills required. Technical teams often benefit when their leaders complete this programme, as it creates alignment on governance expectations.
You will gain practical skills in AI governance including risk assessment frameworks, policy development, compliance requirements across Australian jurisdictions, ethical AI principles, and stakeholder communication. The curriculum covers the National AI Framework, state-specific requirements, and international standards like ISO/IEC 42001. You will leave with completed governance artefacts ready for implementation.
Most AI courses focus on technical skills or theoretical ethics. This Sprint is uniquely practical and Australian-focused. You work on your actual governance challenges with expert facilitators, create real artefacts for your organisation, and learn frameworks specifically designed for Australian regulatory requirements. It is governance-first, not technology-first.
Programme Logistics
The Responsible AI Governance Sprint™ runs over 4 weeks, with a combination of self-paced learning modules, live facilitated sessions, and hands-on clinic workshops. Expect to commit approximately 4-6 hours per week. The schedule is designed for busy executives with flexibility built in.
A computer with reliable internet access and a modern web browser (Chrome, Firefox, Safari, or Edge). All programme materials, templates, and collaboration tools are provided through our online platform. No special software installation is required. Materials are accessible on tablets for convenience.
All live sessions are recorded and available within 24 hours. You can catch up at your own pace. However, we strongly encourage live attendance for the interactive clinic sessions where you work directly on your governance artefacts with facilitator support. The peer discussion and real-time feedback are valuable components.
Yes, and we encourage it. Organisations often see better outcomes when governance, risk, legal, and technology leaders participate together. Team pricing is available for groups of 3 or more. Contact us after applying for team arrangements.
Australian AI Governance
Australia takes a principles-based, risk-proportionate approach to AI governance. The federal government has established the National Framework for the Assurance of AI in Government and voluntary AI Ethics Principles. State governments including NSW, Victoria, Queensland, and WA have developed jurisdiction-specific policies. Unlike the EU's prescriptive AI Act, Australia emphasises flexibility and sector-specific guidance while encouraging responsible innovation.
Currently, AI-specific regulation in Australia is largely voluntary for private sector organisations, but mandatory for government agencies in most jurisdictions. However, existing laws apply to AI systems including privacy legislation, anti-discrimination laws, consumer protection, and sector-specific regulations. Mandatory guardrails are expected by 2025-2026, and organisations implementing governance now will be better prepared.
The National Framework for the Assurance of AI in Government (NFAAI) provides guidance for Australian government agencies using AI. It emphasises risk-based assessment, human oversight, transparency, accountability, and continuous monitoring. While designed for government, it serves as a benchmark for private sector best practice and informs state-level policies.
Each state has developed its own approach: NSW has the AI Assurance Framework (AIAF) with mandatory assessment for high-risk systems. Victoria focuses on ethical AI principles and sector guidance. Queensland emphasises responsible AI use in government services. WA has the WA Government AI Policy and Assurance Framework. South Australia, Tasmania, NT, and ACT have varying levels of formalised guidance. The Sprint covers all jurisdictions comprehensively.
Australia's eight voluntary AI Ethics Principles are: Human, societal and environmental wellbeing; Human-centred values; Fairness; Privacy protection and security; Reliability and safety; Transparency and explainability; Contestability; and Accountability. These principles guide responsible AI development and deployment, and organisations are encouraged to adopt them as part of their governance frameworks.
Australian organisations operating internationally or handling data from EU citizens must comply with GDPR requirements for AI systems. The EU AI Act will also impact Australian companies serving European markets. Additionally, frameworks like ISO/IEC 42001 for AI Management Systems provide internationally recognised standards. The Sprint covers how to align Australian governance with international requirements.
AI Risk & Safety
Yes, when governed properly. AI systems can deliver significant value while managing risks effectively. This programme teaches you exactly how to establish the controls, policies, and oversight mechanisms that make AI safe and defensible in your organisation. The key is proportionate governance, where higher-risk applications receive more rigorous oversight, while lower-risk uses can proceed with lighter controls.
Key AI risks include: algorithmic bias leading to unfair outcomes; privacy breaches from data misuse; security vulnerabilities; lack of transparency in decision-making; over-reliance on automated systems; reputational damage from AI failures; legal and regulatory non-compliance; and workforce displacement concerns. Effective governance addresses each of these through appropriate policies and controls.
AI risk assessment involves evaluating each use case across multiple dimensions: the sensitivity of data involved, potential impact on individuals, level of automation in decisions, transparency requirements, and regulatory obligations. The Sprint provides a comprehensive risk assessment framework that helps you categorise use cases as low, medium, or high risk, with corresponding governance requirements for each level.
Throughout the Sprint, you will develop: an AI governance policy tailored to your organisation; a risk assessment framework; a use case register for tracking AI applications; impact assessment templates; transparency and explainability statements; an accountability structure defining roles and responsibilities; and incident response procedures. These are practical documents you can implement immediately.
Investment & Outcomes
The founding cohort pricing will be shared with applicants who are accepted to the programme. Early applications receive priority access and preferential rates. The investment reflects the value of expert facilitation, comprehensive materials, peer networking, and the tangible governance artefacts you create. Apply now to receive the Programme Guide with full pricing details.
Graduates leave with: completed governance artefacts ready for board approval; confidence to lead AI initiatives safely; practical skills in risk assessment and policy development; peer network of governance professionals; ongoing access to updated resources; and positioning as a responsible AI leader in your sector. Many participants report immediate application of learnings to active AI projects.
Yes. Graduates receive 12 months of access to programme resources and template updates, quarterly briefing sessions on regulatory changes across Australian jurisdictions, membership in our alumni network for peer support and knowledge sharing, and priority access to advanced modules as they are released. We are committed to your ongoing success in AI governance.
Yes. The Sprint qualifies as professional development for many accreditation bodies. Participants receive a Certificate of Completion and detailed learning outcomes documentation suitable for CPD claims. Many organisations fund participation through professional development budgets or strategic capability building initiatives.
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Applications close 27 May 2026