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AI Ethics

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1 hr
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Course Description

Get an Overview of AI Ethics

This introductory course on AI ethics provides a comprehensive overview of ethical considerations in the fast-paced domain of artificial intelligence. The course spans industry, policy-making, academia, and society at large, covering principles of AI ethics, strategies to foster fair and equitable AI systems, approaches to minimize biases, and methods to address key issues and establish user trust.

Ethical Principles and Challenges

Throughout the course, you will learn about the core principles of ethical AI and expand your understanding of common challenges and opportunities in the field of AI ethics. Through hands-on exercises, you will build your skills to craft ethical AI by design. Begin Learning today!
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  1. 1

    Approaching AI Ethics

    Free

    Understand the foundations of AI Ethics and observe some of the challenges of the ethical use of AI.

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    AI ethics: What's the buzz?
    50 xp
    Guiding principle
    50 xp
    What's covered by AI ethics?
    100 xp
    Digging deeper: AI ethics principles
    50 xp
    Identifying actions
    100 xp
    AI principles unfolded
    50 xp
    AI ethics: where's the line?
    50 xp
    Striking a balance
    50 xp
    CineLlama Navigator
    100 xp
  2. 2

    Below the Surface: AI Ethics

    Unpack the core principles of AI Ethics and discover a promising technique, explainable AI (XAI), that can integrate these principles into many AI systems.

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    Unpacking the blackbox: Transparency
    50 xp
    Transparent AI system
    50 xp
    Transparency best practices
    100 xp
    AI fairness: not just a dream
    50 xp
    Tackling fairness issue
    50 xp
    Can we make things right?
    100 xp
    Safeguarding AI: Accountability
    50 xp
    Accountability common misconceptions
    50 xp
    Who's responsible?
    100 xp
    Explainable AI
    50 xp
    How would you apply XAI?
    50 xp
    The perfect match
    100 xp
  3. 3

    The Way Forward: AI Ethics

    Discover the value ethical frameworks present to organizations of all sizes and prepare yourself to tackle tomorow's ethical challenges with AI ethics by design.

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    Summaries Ethical frameworks
    50 xp
    Framing success
    50 xp
    When a plan comes together
    50 xp
    The value of ethical AI
    50 xp
    A proactive approach
    50 xp
    Identify the stakeholders
    100 xp
    The future of AI ethics
    50 xp
    All part of the plan
    50 xp
    Honing ethics by design
    50 xp
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Training 2 or more people?

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In other tracks

EU AI Act FundamentalsResponsible AI Foundations

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collaborators

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Joanne Xiong
Joe Franklin HeadshotJoe Franklin

Head of Business Insights Curriculum at DataCamp

Joe Franklin is currently the Head of Business Insights at DataCamp. Prior to this role, Joe held positions at Qlik, ACE Group, and Arlington Medical Resources, where Joe gained experience in data analysis, business intelligence, and research analysis. Joe's education includes a Master of Science in Predictive Analytics from Northwestern University and a Bachelor of Science in Applied Statistics from Rochester Institute of Technology. With their background in data analysis and curriculum management, Joe brings a wealth of expertise to the field of data literacy and business intelligence.
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