Skip to content
    AI engineering roles via the DiamantAI Collective.See open roles
    Advanced ApplicationsPrompt Engineering

    Ethical Considerations

    This tutorial explores the ethical dimensions of prompt engineering, focusing on two critical aspects: avoiding biases in prompts and creating inclusive and fair prompts. As AI language models become increasingly integrated into various applications, ensuring ethical use becomes paramount.

    AI language models, trained on vast amounts of data, can inadvertently perpetuate or amplify existing biases. Prompt engineers play a crucial role in mitigating these biases and promoting fairness. This tutorial aims to equip learners with the knowledge and tools to create more ethical and inclusive prompts.

    What you'll learn

    • 1
      Understanding biases in AI
    • 2
      Techniques for identifying biases in prompts
    • 3
      Strategies for creating inclusive prompts
    • 4
      Methods for evaluating fairness in AI outputs
    • 5
      Practical examples and exercises

    About this tutorial

    This hands-on Jupyter notebook is part of Prompt Engineering, a free open-source repository by Nir Diamant covering prompt engineering techniques with runnable code examples and detailed explanations.

    Free and open-sourceRunnable Jupyter notebookActive community support
    Go deeper · By the bestselling author of RAG Made Simple

    Prompt Engineering: Zero to Hero

    The expanded book version of this repo: 22 prompt-engineering techniques explained in depth, with hands-on exercises that take you from fundamentals to advanced steering.

    Get it on Amazon

    Kindle $9.99 · Paperback $24.99 · Free with Kindle Unlimited

    More Advanced Applications tutorials

    More from Prompt Engineering