Ethical guidelines for prompt engineering
Prompt engineering is a critical stage where AI behavior is molded, and incorporating ethics at this level helps ensure that AI language models are developed and deployed responsibly. It promotes fairness, transparency, and user trust while avoiding potential risks and negative societal impact.
While Chapter 4 delved further into constructing ethical generative AI solutions, in this section, our focus will be on briefly discussing the integration of ethical approaches at the prompt engineering level:
- Diverse and representative data
- When fine-tuning the model with few-shot examples, use training data that represent diverse perspectives and demographics.
- If the AI language model is intended for healthcare, the training data should cover medical cases from different demographics and regions.
- For instance, if a user poses a question to the LLM, such as, “Can you describe some global traditional festivals?” the response should...
