IEEE 7000-2021 Responsible AI for Australian Playbook – Excel XLSX

BENEFITS OF THIS DOWNLOADABLE EXCEL DOCUMENT

1. 64 professional files with 349+ spreadsheet tabs and 2,730+ data rows
2. 210 scored assessment questions across 7 domain areas
3. 9 operational runbooks and checklists ready for immediate use

ARTIFICIAL INTELLIGENCE EXCEL DESCRIPTION

IEEE 7000-2021 Responsible AI for Australian Playbook is an Excel template (XLSX) with a supplemental Zip archive file document available for immediate download upon purchase.

IEEE 7000-2021 Responsible AI Implementation Playbook for Australian Public Sect

64 professional files (6 PDFs + 58 Excel workbooks) | 349+ spreadsheet tabs | 2,730+ rows of structured content | 11 organised folders

Responsible AI is the test of whether an organisation can deliver AI that is safe, fair, transparent, and accountable, and do it consistently. The principles are widely understood. Turning them into working controls, review gates, and evidence that stands up to regulators and auditors is what most teams find hardest. This playbook closes that gap with practical tools a team can adopt this quarter.

WHAT YOU GET: A THREE-PHASE JOURNEY

Phase 1: Diagnose. Seven domain assessments (30 questions each, 210 total) score your maturity across Human Wellbeing and Benefit Maximization, Avoidance of Harm and Risk Mitigation, Autonomy and Human Oversight, and related areas. You can complete the Quick Scan diagnostic in under an hour and know exactly where the biggest gaps and opportunities sit.

Phase 2: Set Goals. Five PM template workbooks with roadmaps, RACI matrices, milestone trackers, risk registers, and stakeholder communication plans. These lock in scope, timeline, and accountability before a single line of implementation work starts, which is consistently where programmes succeed or stall.

Phase 3: Implement. Nine operational runbooks and checklists covering incident response, vendor and third-party handling, and governance reviews. Every runbook is built to be followed by a working team, not read and filed. Pro tips, example rows, and common-mistake callouts give you the benefit of hard-won practitioner experience from the first day.

7 DOMAIN ASSESSMENTS (210 QUESTIONS)
•  Human Wellbeing and Benefit Maximization
•  Avoidance of Harm and Risk Mitigation
•  Autonomy and Human Oversight
•  Justice and Fairness in AI Outcomes
•  Explicability and Interpretability
•  Responsibility and Accountability
•  Privacy Data Protection and Security

9 OPERATIONAL RUNBOOKS
•  AI Ethics Governance Committee Runbook
•  AI Incident Response and Redress Protocol
•  Bias Detection and Mitigation Playbook
•  Human Centered AI Design CoCreation Guide
•  Privacy by Design Implementation Checklist
•  Responsible AI Pilot Program Checklist
•  Stakeholder Engagement and Communication Plan
•  Third Party AI Vendor Governance Checklist
•  Transparency and Explainability Delivery Framework

The full kit also includes a practitioner-grade library of PM forms spanning all five PMBOK process groups, KPI dashboards, risk and compliance registers, and reference cards. Every template comes pre-populated with domain-specific example data so your team can start editing, not staring at blank rows. You get a consistent operating system across diagnostic, planning, delivery, and sustainment, which is how mature programmes compound improvement year over year.

WHO THIS IS FOR: Enterprise AI programme leaders, chief data and analytics officers, transformation directors, and delivery teams implementing AI at scale.

Aligned with leading industry standards and PMBOK project management practice.

Instant download. Start your first assessment within the hour.

Source: Best Practices in Artificial Intelligence Excel: IEEE 7000-2021 Responsible AI for Australian Playbook Excel (XLSX) Spreadsheet, Gerard Blokdijk