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    AI for Performance Improvement Journey

    - DRAFT -

    Introduction

    Welcome to the AI for Performance Improvement Journey.

    You are embarking on a journey that will empower you to integrate artificial intelligence (AI) into your professional life. This structured and progressive learning experience combines foundational knowledge with practical tools and real-world applications. By participating, you will develop the expertise needed to leverage AI ethically and strategically. The Journey prepares you for certification that validates your proficiency and impact.

    Journey Objectives

    At the end of the AI4PI Journey, you will be able to:

    1. Analyze AI’s role in enhancing organizational performance and decision-making.
    2. Evaluate AI tools and methods for their applicability to performance improvement.
    3. Develop AI-driven performance improvement solutions that align with ethical, governance, and oversight standards.
    4. Implement and assess AI solutions within their organizations, ensuring data integrity, transparency, and compliance.
    5. Design strategies for human-AI collaboration, ensuring AI augments human decision-making effectively.

    Completing your Journey

    Scroll down to the sections below to finish the experiences in each module. You can use the link below to monitor your progress as you complete experiences and earn credits.

  • Module 1: Foundational Concepts

    1

    Introduction to AI for Performance Improvement

    Click on title to launch experience

    Examine the foundational concepts of AI for Performance Improvement

    2

    AI for Performance Improvement Journey Overview

    Explore the Journey and essential tools and resources.
    3

    Identifying Opportunities to Apply

    Identify potential opportunities for AI implementation across your areas of expertise.

  • Module 2: AI for PI Principles

    1

    Human Oversight of AI4PI Solutions

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    2

    Data Integrity and Privacy

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    3

    Biases and Ethical Considerations

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    4

    Experience 2.4: Governance and Risk Management

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  • Module 3: Analysis, Definition and Design

    1

    Discovery and Needs Analysis

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    2

    AI for Performance Improvement Journey Overview

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    3

    AI-Human Collaboration

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  • Module 4: AI for PI Principles

    1

    Accuracy and Trustworthiness

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    2

    Deployment and Auditing

    ...
    3

    Outcome and Impact Analysis

    ...

  • Module 5: Next Steps and Future Applications

    1

    Journey Reflection

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    2

    Your AI for PI Certificate

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    3

    Continuous Improvement

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