AI 🤖
Here are the principles that will guide my use of generative AI. These rules will evolve and are presented in no particular order.
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Never directly use AI responses in a document unless quoted and marked as coming from AI. As AI is seen as a complementary tool, query results must be reworked, contextualized and used to create new content.
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Always add a disclaimer when AI is used and divulge which tools were used. Something like: Source: ChatGPT via Raycast.
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Use AI as a complementary tool to accomplish something not at the center of a specific project. AI should be considered like another tool in a more extensive tool set, like a Word Processor or a To-do manager. I must not forget about the creative goal and desired end product.
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Consider each AI query as non-private; never use private information in queries. Some AI clients could potentially gather data to help feed future training processes. It’s not a good idea to send queries with personal or sensitive data in them. Anonymize everything if such a thing makes sense when formulating queries.
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Never trust AI responses, stay critical and do spot checks. One of the biggest mistakes when using AI is considering responses as the truth. It would be a recipe for a disaster from a credibility perspective. Trust but check applies here.
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Use AI on well-documented and established domains or bodies of knowledge. Current AI models are trained on knowledge until the fall of 2021. Knowledge credibility takes time and generally comes with more credibility.
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Use AI only on topics where I wouldn’t mind talking about them in public. I am not interested in trying controversial requests against ChatGPT or Midjourney.
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Use AI only if meaningful added value is expected. Using AI for the sake of using AI doesn’t bring value. It needs to help add value to the creative process.
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Use AI on non-controversial subjects. AI is about using knowledge, and in scientific communities, consensus is the basis for knowledge validation. Let the dust settle on controversies before making use of still-questionable knowledge.
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Use AI to create something I don’t have enough abilities to produce similar results myself. I am using AI as a complement to my current abilities. Life is short; I cannot learn everything. I need help sometimes.
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When using AI for content summarization, If the content is determined of high value, it must be read in full. When trying shortcuts like summarization, don’t forget the value of doing the real thing.
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Keeping the human touch must be a top priority when using AI. Using too much AI-created content can render the content too generic.
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Use AI as a last resort. It’s too easy to rely on AI all the time. Remember that AI is not an end by itself, it’s a complementary tool, and I already had great human abilities before AI came to be.
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Always quote generative AI as the source when applicable, don’t steal. Don’t use generative AI generated text as your own words. Cite generative AI as the source in this situation.
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I try to use more than one generative AI source. It is a reasonable expectation that using more than one generative AI source for a single prompt might lead to different yet similar results, which could increase the value of the answer.
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I value paid generative AI services over free ones. It is reasonable to expect better results if you are paying for a generative AI service. It is not mandatory, but the latest technologies are often provided to paying users because they require more resources on the provider’s side.
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For the foreseeable future, cloud-based generative AI services are more powerful, so I prioritize them. Don’t put the same trust on locally-run models compared to what is available from the cloud. Cloud-based services generally provide better results.
Disclaimer: I used generative AI to enhance my original writing.
AI is used through these front-end clients within my creative workflows:
- ChatGPT website
- Anthropic Claude
- Raycast A
- Whisper (Mac)
- Micro.blog podcast transcription
- Kagi Summarize Results, Summary Document, Ask Questions
- Craft Assistant
- Grammarly AI