<aside> 🟢 In this Bootcamp, you are allowed to use AI tools to support your work.

The materials provided throughout this resource are designed to support your effective, efficient and responsible use of AI tools throughout this Bootcamp.

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First, start by understanding your responsibilities:

<aside> ⚠️ You are 💯 responsible for ensuring the following:

(1) All information you present in your deliverables must be from reliable sources that you have verified outside of any AI tool.

Generative AI tools can “hallucinate” and provide inaccurate, or even wholly made up, information and references. It is your responsibility, and yours alone, to ensure that all information, data and references in your submitted work is accurate. For the avoidance of doubt, simply referencing an AI as a source of data or information is not acceptable. You are required to find the original source of the information or data and ensure that it is reliable.

(2) You must acknowledge any and all use of AI tools to support your work.

If you use one or more AI tools to support your work during this bootcamp, you need to include appropriate referencing. That includes, but is not limited to, using AI tools to: research aspects of your local context, your problem, your State of the Art examples, and/or your Proposed Solution Report; generate or edit written text; generate or edit graphics, charts or images; and/or layout your work.

Important note: simply citing an AI tool as a source does not reduce your responsibility to ensure all information and data presented in your deliverable is verified as being accurate and from reliable sources.

<aside> ‼️ Unreferenced use of AI tools can be considered plagiarism

There are multiple underlying reasons for this, including the fact that AI tools are trained using materials from a wide range of originally human sources. Because of this, plagiarism tools – like the ones we use in this bootcamp – are being enhanced to be able to detect AI generated text that is unreferenced.

Because you will not be penalised in this bootcamp for the responsible use of AI tools, we strongly encourage to you to follow the above referencing requirements. That removes any risk of serious academic integrity issues arising from our plagiarism tool finding unreferenced use of AI generated materials in your submitted work.

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Second, learn how to be effective and efficient using these tools:

<aside> ℹ️ The examples used throughout this resource are based on ChatGPT.

Please note that you are not restricted to the use of only ChatGPT for this bootcamp.

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<aside> 💡 Best practice is to keep a full record of your exchanges with any AI tool. If you are citing that exchange significantly in your work, you should consider providing the full text of that exchange as an appendix to your work.

You can see an example of that within the ChatGPT, 2023b reference at the bottom of this resource.

There are two reasons for this:

  1. Having the full exchange enables a reader to see the full “original source” you are drawing quotes from. Without the full details of the exchange, a reader will generally have difficulty getting AI tool to reproduce the text you generated.
  2. It significantly reduces potential concerns about plagiarism, because the full “original source” is there for any reader to review and compare against your final submitted (or published) work. </aside>

<aside> 🗺️ Introduction

The release of AI tools has significantly increased in recent years, aiding humans in many tasks such as process automation, decision support, and research efficiency. These tools can be useful in academic settings for gathering information, brainstorming ideas, and evaluating arguments. However, users are responsible for choosing which tools to use for specific purposes. So long as you are 💯 sure you know your responsibilities (see above) you are welcome to explore and use these tools throughout your work in the bootcamp. I have

<aside> 🗺️ Using AI Tools effectively → the importance of Prompting

<aside> ⚠️ If you decide to use AI tools for research in this bootcamp, you are expected to acknowledge that use, as detailed above.

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Although AI tools can be powerful, using precise and accurate prompts are key foundation of generating reliable and relevant results.

AI tools rely on the instructions provided by the user through prompts in order to generate their responses and perform tasks. A vague or ambiguous prompt can lead to inaccurate or undesired outcomes. Clear and specific prompts help ensure that the AI system understands the user's intent accurately, leading to more meaningful and actionable results.

All of the examples used in the following guidance subsections are related to ChatGPT. The general knowledge, however, can be applied to other AI tools as well.

<aside> 🗺️ Writing effective ‘Prompt Chains’ for research purposes

What is summarised here is guidance based on the limited experience of our research team at How to Change the World. It should not be taken as robust.

We provide this guidance, and the accompanying example, to get you going… but the rest is up to you (just as your choice of other research tools is up to you).

Third, understand the limitations of AI tools:

<aside> 🚧 General limitations of current AI Tools to keep in mind

  1. Outdated Information: AI models are initially trained on static datasets, and while they might evolve, their knowledge is not necessarily up to date. This means that the information they provide can be outdated, especially in rapidly evolving fields.
  2. Lack of Context: AI tools may not fully understand the context of your specific research topic or the nuances of your reference needs. They may provide information that is accurate in a general sense but not entirely relevant to your specific inquiry.
  3. Biases: AI models can inherit biases present in the data they were trained on. This can result in biased or skewed information being presented, which may not be suitable for academic or unbiased referencing.
  4. Incomplete Citations: AI tools often generate incomplete, inaccurate or wholly made up citations for sources. It's important to find and double-check all referenced materials using established databases to ensure the resources exist and the information extracted is accurate.
  5. Ambiguity: AI models may struggle with ambiguous or complex queries and may provide incomplete or inaccurate information in response to such queries.
  6. Lack of Critical Analysis: AI tools don't possess critical thinking abilities or the ability to evaluate the quality or reliability of sources. It's important to independently assess the credibility and relevance of the sources suggested by AI tools.
  7. Limited Sources: AI tools may have limitations in the sources they can access, relying on publicly available data. They may not have access to proprietary databases or subscription-based academic journals.
  8. Legal and Ethical Considerations: Using AI tools to extract and reference copyrighted materials without proper permissions or within fair use guidelines can lead to legal and ethical issues. </aside>

<aside> 📚 Bibliography

References

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