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
- 1Understanding biases in AI
- 2Techniques for identifying biases in prompts
- 3Strategies for creating inclusive prompts
- 4Methods for evaluating fairness in AI outputs
- 5Practical 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.
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.
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