Save time, empower your teams and effectively upgrade your processes with access to this practical Responsible AI Toolkit and guide. Address common challenges with best-practice templates, step-by-step work plans and maturity diagnostics for any Responsible AI 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 Responsible AI specific requirements:
STEP 1: Get your bearings
Start with...
- The latest quick edition of the Responsible AI 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 995 new and updated case-based questions, organized into seven core areas of process design, this Self-Assessment will help you identify areas in which Responsible AI improvements can be made.
Examples; 10 of the 995 standard requirements:
- Where does responsibility for strategic fraud risk management lie within your organization, and who is responsible for operational activity of the prevention, detection, and investigation of fraud?
- What criteria do you currently use to evaluate competence in ESG integration for purposes of a dedicated socially responsible investment mandate, environmental, ethical or similar mandate?
- How can timelines for setting climate goals be adapted to the competing demands of rapid emission reduction and the longer timelines that can underpin economic and investment planning?
- Is the work on climate and the environment, human rights, employee rights and for transparency and against corruption integrated in the corporate social responsibility guidelines?
- Does combining data with other inputs from the AI create new legal, records management, or classification risks relating to how the information is maintained and protected?
- Have you defined procedures and reporting processes for system performance and post deployment monitoring, and identified who is responsible for implementing procedures?
- Is management taking responsibility for the bots decisions as authorizing transactions and whether the task being automated requires little or no professional judgment?
- What has been the impact of lending and development assistance projects funded by multilateral and bilateral aid departments in various environmental services sectors?
- How to design and develop implementation techniques that stakeholders could use to evaluate and maintain responsible development of artificially intelligent machines?
- Have you agreed on what is commercially valuable information with the vendor to ensure that confidentiality and intellectual property protection are preserved?
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 Responsible AI book in PDF containing 995 requirements, which criteria correspond to the criteria in...
Your Responsible AI 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 Responsible AI Self-Assessment and Scorecard you will develop a clear picture of which Responsible AI 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 Responsible AI 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 Responsible AI projects with the 62 implementation resources:
- 62 step-by-step Responsible AI Project Management Form Templates covering over 1500 Responsible AI project requirements and success criteria:
Examples; 10 of the check box criteria:
- Human Resource Management Plan: Are staff skills known and available for each task?
- Initiating Process Group: Which of six sigmas dmaic phases focuses on the measurement of internal process that affect factors that are critical to quality?
- Activity Cost Estimates: Does the activity use a common approach or business function to deliver its results?
- Roles and Responsibilities: Accountabilities: what are the roles and responsibilities of individual team members?
- Probability and Impact Matrix: How are risks and risk management perceived in the Responsible AI project?
- Risk Audit: Are end-users enthusiastically committed to the Responsible AI project and the system/product to be built?
- Procurement Management Plan: Are there checklists created to determine if all quality processes are followed?
- Assumption and Constraint Log: Is the current scope of the Responsible AI project substantially different than that originally defined in the approved Responsible AI project plan?
- Probability and Impact Matrix: Is the technology to be built new to your organization?
- Closing Process Group: How critical is the Responsible AI project success to the success of your organization?
Step-by-step and complete Responsible AI Project Management Forms and Templates including check box criteria and templates.
1.0 Initiating Process Group:
- 1.1 Responsible AI project Charter
- 1.2 Stakeholder Register
- 1.3 Stakeholder Analysis Matrix
2.0 Planning Process Group:
- 2.1 Responsible AI project Management Plan
- 2.2 Scope Management Plan
- 2.3 Requirements Management Plan
- 2.4 Requirements Documentation
- 2.5 Requirements Traceability Matrix
- 2.6 Responsible AI 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 Responsible AI 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 Responsible AI 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 Responsible AI 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 Responsible AI project with this in-depth Responsible AI Toolkit.
In using the Toolkit you will be better able to:
- Diagnose Responsible AI 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 Responsible AI 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 Responsible AI investments work better.
This Responsible AI 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.