Artificial Intelligence (AI) Ethics - Implementation Toolkit (Excel XLSX)

BENEFITS OF THIS EXCEL DOCUMENT

1. Direct AI Ethics: provide sufficient human relations skill to convey technical engineering concepts to others; and to work cooperatively with internal and external customers.
2. Systematize AI Ethics: partner with Platform, Data Engineering, and Data Science teams to develop the tools and processes needed to build AI-driven platforms.
3. Steer AI Ethics: direct Data and AI as an advisory, influencer, and consulting function, leading Design Thinking, Strategic Roadmap, Architectural Vision, and Thought Leadership.

ARTIFICIAL INTELLIGENCE EXCEL DESCRIPTION

Editor Summary The Artificial Intelligence (AI) Ethics - Implementation Toolkit is an XLSX package with a supplemental ZIP by Gerard Blokdijk that implements a 3-step process from idea to implementation for AI ethics programs. Read more It includes an AI Ethics Self-Assessment PDF (49 requirements), a Self-Assessment Excel Dashboard with auto-generated reports, radar chart and projects-ready RACI matrix, 999 case-based questions across 7 core areas, and 62 implementation templates covering over 1500 requirements; sold as a digital download on Flevy.

Use this toolkit when an organization must assess and operationalize AI ethics practices — for example during governance setup, risk reviews, or program rollout.

  AI ethics leads running a quickscan and detailed maturity diagnostic using the 49-requirement PDF and the Self-Assessment Excel Dashboard.
  Compliance or privacy officers mapping responsibilities and producing a RACI for prioritized projects using the dashboard’s dynamically prioritized RACI Matrix.
  Program or project managers converting assessment outcomes into tracked workstreams with step-by-step project management templates.

The RDMAICS data-driven improvement cycle (Recognize, Define, Measure, Analyze, Improve, Control and Sustain) applies an iterative, data-driven continuous improvement approach to assessments and implementation.

The Artificial Intelligence (AI) Ethics Toolkit includes a set of best-practice templates, step-by-step workplans, and maturity diagnostics for any AI Ethics related project. Please note the above partial preview is ONLY of the Self Assessment Excel Dashboard, referenced in steps 1 and 2 (see below for more details).

Through a 3-step process, this toolkit will guide you from idea to implementation. Please find a below a summary of the 3 steps.

STEP 1: Get your bearings

Start with the latest quick edition of the AI Ethics Self Assessment book in PDF containing 49 requirements to perform a quickscan, get an overview and share with stakeholders.

Organized in a Data Driven improvement cycle RDMAICS (Recognize, Define, Measure, Analyze, Improve, Control and Sustain), check the example pre-filled Self-Assessment Excel Dashboard to get familiar with results generation.

STEP 2: Set concrete goals, tasks, dates and numbers you can track

Featuring 999 new and updated case-based questions, organized into seven core areas of Process Design, this Self-Assessment will help you identify areas in which AI Ethics improvements can be made.

The Self-Assessment Excel Dashboard; with the AI Ethics Self-Assessment and Scorecard you will develop a clear picture of which AI Ethics areas need attention, which requirements you should focus on and who will be responsible for them:

•  Shows your organization instant insight in areas for improvement: Auto generates reports, radar chart for maturity assessment, insights per process and participant and bespoke, ready to use, RACI Matrix
•  Gives you a professional Dashboard to guide and perform a thorough AI Ethics Self-Assessment
•  Is secure: Ensures offline Data Protection of your Self-Assessment results
•  Dynamically prioritized projects-ready RACI Matrix shows your organization exactly what to do next

STEP 3: Implement, Track, follow up and revise strategy

The outcomes of STEP 2, the self assessment, are the inputs for STEP 3; Start and manage AI Ethics projects with the 62 implementation resources. There are 62 step-by-step AI Ethics Project Management Form Templates covering over 1500 AI Ethics project requirements and success criteria.

TOPIC FAQ

What is a practical staged approach to implementing AI ethics in an organization?

A practical approach follows a three-step process: get bearings with a quickscan, set concrete goals and measure maturity, then implement and track projects. The toolkit maps these steps to a data-driven RDMAICS cycle (Recognize, Define, Measure, Analyze, Improve, Control and Sustain) in a 3-step process.

How can I perform a maturity assessment for AI ethics?

Begin with the AI Ethics Self-Assessment PDF quickscan of 49 requirements, then use the Self-Assessment Excel Dashboard to run the full assessment using 999 case-based questions, generating a scorecard and a radar chart for maturity assessment.

What elements should an AI ethics self-assessment include?

A self-assessment should cover defined requirements, case-based questions organized into 7 core areas, a scorecard, visual maturity output like a radar chart, and role accountability output such as a RACI matrix, as provided by the Self-Assessment Excel Dashboard.

What features matter when choosing an AI ethics implementation toolkit?

Key practical features include step-by-step workplans, a secure assessment dashboard that auto-generates reports and a RACI matrix, extensive case-based questions for diagnostic depth, and implementation templates; this toolkit provides these features and 62 implementation templates.

How much effort is typically needed to run a thorough AI ethics assessment and begin implementation?

Effort varies by organization,, but a thorough program supported by the toolkit uses a 3-step sequence: quickscan (49 requirements), detailed assessment using 999 questions, and progression to implementation with 62 project templates and associated success criteria.

I need to align roles and responsibilities for AI governance—what tool helps most?

Use a RACI matrix generated from a structured self-assessment. The Self-Assessment Excel Dashboard auto-generates a dynamically prioritized, projects-ready RACI Matrix that shows responsibilities and next actions for prioritized AI ethics areas.

Can AI ethics assessments be done securely offline?

Yes; the Self-Assessment Excel Dashboard explicitly ensures offline data protection of assessment results, allowing organizations to store and analyze self-assessment outputs without requiring continuous online access to protect their data.

How do I move from assessment results to tracked implementation projects?

Use the assessment outputs (scorecard, prioritized areas, RACI) as inputs to project initiation and tracking; the toolkit provides 62 step-by-step AI Ethics Project Management Form Templates covering over 1500 project requirements and success criteria.

Source: Best Practices in Artificial Intelligence, Business Ethics Excel: Artificial Intelligence (AI) Ethics - Implementation Toolkit Excel (XLSX) Spreadsheet, Gerard Blokdijk