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Responsible AI Practices

Master Responsible AI Practices with this comprehensive course, featuring real-world case studies and interactive content.

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2 Hours12 Videos31 Exercises

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Course Description

Dive into the World of Responsible AI

Explore the world of Responsible AI with this comprehensive course designed for anyone eager to understand and implement AI responsibly in their organization. As AI technologies become integral to daily life, ensuring their ethical deployment is crucial.


Understand Responsible AI

Begin your journey by defining Responsible AI, differentiating it from AI Ethics, and delving into its key principles. Learn how these principles have evolved over time and how they apply today. This foundational knowledge sets the stage for a deeper exploration of the subject.


Transition from theory to real-world applications by identifying and analyzing risks associated with AI technologies, including bias, privacy, and security concerns. Gain insights into global frameworks and the latest regulations from Europe to Asia, empowering you with the knowledge to navigate the complex landscape of AI governance.


Build Strategies and Tools for the Future

Explore governance models and practical tools for risk management. Learn how to build and sustain AI systems that uphold human-centered values and ethics. Engage with diverse perspectives on forming inclusive AI teams and implementing robust oversight mechanisms.


What You Will Achieve

By the end of this course, you'll grasp the foundational concepts and challenges of Responsible AI and acquire practical tools and strategies to lead AI initiatives responsibly. You'll be prepared to foster environments that prioritize ethical considerations in AI development, ensuring your organization's AI practices are both innovative and aligned with societal values.


Are you ready to be at the forefront of Responsbile AI? Enrol now and start shaping the future of technology with responsibility at its core. Whether you’re a professional stepping into the AI field or a seasoned expert, this course will enhance your ability to make informed, ethical decisions in the rapidly evolving landscape of artificial intelligence.

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In the following Tracks

Artificial Intelligence (AI) Leadership

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  1. 1

    The foundations of Responsible AI

    Free

    Explore the defining moments and key principles of Responsible AI, from its historical roots to present applications. Discover how these principles differ and relate to AI Ethics through engaging case studies and real-life scenarios.

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    Defining Responsible AI
    50 xp
    RAI or AI Ethics at InnovateTech?
    50 xp
    Real examples of irresponsible AI
    100 xp
    AI: what it is and what it is not (yet)
    50 xp
    Training AI
    100 xp
    Superintelligence
    50 xp
    Domains and applications
    50 xp
    Truth or hype?
    50 xp
  2. 2

    Navigating AI risks and rules

    Unpack the complexities of AI risks and learn to evaluate their impact on society. Dive into global AI frameworks and regulations to avoid common pitfalls and ensure your AI strategies are robust and ethical.

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  3. 3

    Building and safeguarding a RAI future

    Learn strategies for developing AI responsibly with a focus on inclusive teams and governance models. Apply practical tools and participatory design techniques to your AI projects to ensure they are ethical, effective, and aligned with global standards.

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For Business

GroupTraining 2 or more people?

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In the following Tracks

Artificial Intelligence (AI) Leadership

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Collaborators

Collaborator's avatar
Jordan Beecher
Collaborator's avatar
Joe Franklin
Esther Montoya van Egerschot HeadshotEsther Montoya van Egerschot

Chief AI Governance & Ethics at DigiDiplomacy

Esther is Chief AI Governance & Ethics at DigiDiplomacy. She has over 20 years of experience in various roles and domains, including corporate lawyer at KPMG, company executive, Member of Parliament and is Adjunct Professor at Javeriana University.
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