AI Risks Toolkit

Save time, empower your teams and effectively upgrade your processes with access to this practical AI Risks Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any AI Risks related project.

Download the Toolkit and in Three Steps you will be guided from idea to implementation results.

The Toolkit contains the following practical and powerful enablers with new and updated AI Risks specific requirements:

STEP 1: Get your bearings

Start with...


• The latest quick edition of the AI Risks 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


Then find your goals...

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

Featuring 996 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 Risks improvements can be made.

Examples; 10 of the 996 standard requirements:


1. How might the concentration of AI development and deployment in a small number of countries or regions further entrench existing environmental inequalities, and what are the potential consequences for global environmental governance and cooperation?
   
   

2. In what ways might the unequal distribution of AI technologies and related infrastructure exacerbate existing environmental inequalities between different population groups, and what are the potential consequences for environmental sustainability?
   
   

3. Can AI systems designed to optimize engagement inadvertently create filter bubbles that reinforce existing social divisions, and if so, how can we ensure that these systems prioritize diversity of perspectives and exposure to counter-narratives?
   
   

4. What are the potential consequences of AI-generated deepfakes being used to create highly convincing but entirely fictional personas or entities, and how can we prevent these personas from being mistaken for real individuals or organizations?
   
   

5. Can AI systems be designed to promote transparency and accountability in governance, potentially reducing the risk of social unrest and conflict, and if so, how can we ensure that these systems prioritize citizen participation and oversight?
   
   

6. In what ways might the concentration of AI development and deployment in a small number of countries or regions further entrench existing global power imbalances, and what are the potential consequences for global governance and cooperation?
   
   

7. How can we develop AI systems that can effectively identify and counter AI-generated deepfakes that are designed to evade detection, and how can we stay ahead of the cat-and-mouse game between AI-generated deepfakes and detection systems?
   
   

8. How might the lack of access to AI technologies and related skills training further entrench existing inequalities between different occupation groups, particularly in regions with already limited opportunities for low-skilled workers?
   
   

9. Can AI systems be designed to identify and respond to early warning signs of social unrest, such as increased hate speech or online harassment, and if so, how can we ensure that these systems prioritize human well-being and safety?
   
   

10. What are the implications of designing AI systems that can operate in contexts where human values and norms are ambiguous or conflicting, and how can we ensure that these systems make decisions that align with human-centered goals?
    
    


Complete the self assessment, on your own or with a team in a workshop setting. Use the workbook together with the self assessment requirements spreadsheet:


• The workbook is the latest in-depth complete edition of the AI Risks book in PDF containing 996 requirements, which criteria correspond to the criteria in...


Your AI Risks self-assessment dashboard which gives you your dynamically prioritized projects-ready tool and shows your organization exactly what to do next:


• The Self-Assessment Excel Dashboard; with the AI Risks Self-Assessment and Scorecard you will develop a clear picture of which AI Risks 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 Risks 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 Risks projects with the 62 implementation resources:


• 62 step-by-step AI Risks Project Management Form Templates covering over 1500 AI Risks project requirements and success criteria:


Examples; 10 of the check box criteria:


1. Cost Management Plan: Eac -estimate at completion, what is the total job expected to cost?
   
   

2. Team Member Performance Assessment: What happens if a team member disagrees with the Job Expectations?
   
   

3. Stakeholder Management Plan: How are stakeholders chosen and what roles might they have on a AI Risks project?
   
   

4. Risk Audit: Do you have a consistent repeatable process that is actually used?
   
   

5. Executing Process Group: How is AI Risks project performance information created and distributed?
   
   

6. Change Log: Does the suggested change request represent a desired enhancement to the products functionality?
   
   

7. Probability and Impact Assessment: Does the AI Risks project team have experience with the technology to be implemented?
   
   

8. Responsibility Assignment Matrix: Is it safe to say you can handle more work or that some tasks you are supposed to do arent worth doing?
   
   

9. Procurement Management Plan: Are non-critical path items updated and agreed upon with the teams?
   
   

10. Risk Audit: Are end-users enthusiastically committed to the AI Risks project and the system/product to be built?


 
Step-by-step and complete AI Risks Project Management Forms and Templates including check box criteria and templates.

1.0 Initiating Process Group:


• 1.1 AI Risks project Charter

• 1.2 Stakeholder Register

• 1.3 Stakeholder Analysis Matrix


2.0 Planning Process Group:


• 2.1 AI Risks project Management Plan

• 2.2 Scope Management Plan

• 2.3 Requirements Management Plan

• 2.4 Requirements Documentation

• 2.5 Requirements Traceability Matrix

• 2.6 AI Risks project Scope Statement

• 2.7 Assumption and Constraint Log

• 2.8 Work Breakdown Structure

• 2.9 WBS Dictionary

• 2.10 Schedule Management Plan

• 2.11 Activity List

• 2.12 Activity Attributes

• 2.13 Milestone List

• 2.14 Network Diagram

• 2.15 Activity Resource Requirements

• 2.16 Resource Breakdown Structure

• 2.17 Activity Duration Estimates

• 2.18 Duration Estimating Worksheet

• 2.19 AI Risks project Schedule

• 2.20 Cost Management Plan

• 2.21 Activity Cost Estimates

• 2.22 Cost Estimating Worksheet

• 2.23 Cost Baseline

• 2.24 Quality Management Plan

• 2.25 Quality Metrics

• 2.26 Process Improvement Plan

• 2.27 Responsibility Assignment Matrix

• 2.28 Roles and Responsibilities

• 2.29 Human Resource Management Plan

• 2.30 Communications Management Plan

• 2.31 Risk Management Plan

• 2.32 Risk Register

• 2.33 Probability and Impact Assessment

• 2.34 Probability and Impact Matrix

• 2.35 Risk Data Sheet

• 2.36 Procurement Management Plan

• 2.37 Source Selection Criteria

• 2.38 Stakeholder Management Plan

• 2.39 Change Management Plan


3.0 Executing Process Group:


• 3.1 Team Member Status Report

• 3.2 Change Request

• 3.3 Change Log

• 3.4 Decision Log

• 3.5 Quality Audit

• 3.6 Team Directory

• 3.7 Team Operating Agreement

• 3.8 Team Performance Assessment

• 3.9 Team Member Performance Assessment

• 3.10 Issue Log


4.0 Monitoring and Controlling Process Group:


• 4.1 AI Risks project Performance Report

• 4.2 Variance Analysis

• 4.3 Earned Value Status

• 4.4 Risk Audit

• 4.5 Contractor Status Report

• 4.6 Formal Acceptance


5.0 Closing Process Group:


• 5.1 Procurement Audit

• 5.2 Contract Close-Out

• 5.3 AI Risks project or Phase Close-Out

• 5.4 Lessons Learned


Results

With this Three Step process you will have all the tools you need for any AI Risks project with this in-depth AI Risks Toolkit.

In using the Toolkit you will be better able to:


• Diagnose AI Risks projects, initiatives, organizations, businesses and processes using accepted diagnostic standards and practices

• Implement evidence-based best practice strategies aligned with overall goals

• Integrate recent advances in AI Risks and put process design strategies into practice according to best practice guidelines


Defining, designing, creating, and implementing a process to solve a business challenge or meet a business objective is the most valuable role; In EVERY company, organization and department.

Unless you are talking a one-time, single-use project within a business, there should be a process. Whether that process is managed and implemented by humans, AI, or a combination of the two, it needs to be designed by someone with a complex enough perspective to ask the right questions. Someone capable of asking the right questions and step back and say, 'What are we really trying to accomplish here? And is there a different way to look at it?'

This Toolkit empowers people to do just that - whether their title is entrepreneur, manager, consultant, (Vice-)President, CxO etc... - they are the people who rule the future. They are the person who asks the right questions to make AI Risks investments work better.

This AI Risks All-Inclusive Toolkit enables You to be that person.

Includes lifetime updates

Every self assessment comes with Lifetime Updates and Lifetime Free Updated Books. Lifetime Updates is an industry-first feature which allows you to receive verified self assessment updates, ensuring you always have the most accurate information at your fingertips.