4 Matching Annotations
  1. Oct 2024
    1. More importantly, by turning analysis over to AI important ethical codes of conduct are violated. It is unclear how results are obtained in autopilot mode, how bias is monitored, and whether the results are genuinely based on the data and not fabricated. Researchers often have to rely entirely on the outcomes generated by AI, with little control over the process.

      Como investigadores no debemos violar los códigos éticos y más aún que no sabemos cómo la IA extrae la información, por lo que el ejercicio de saber hacerlo manual es indispensable para poder "validar" lo realizado por la IA.

    2. Another important aspect is for the AI assistant to provide references, including links to the original source files. This transparency allows you to see exactly which parts of the data the AI's answers are based on, ensuring accountability and traceability in the analysis process. Below you see an example how this could look like. Thus, when evaluating an AI tool, this is a crucial feature to look for.

      Sin referencias, estamos en el campo del plagio, por lo que más allá de referenciar el uso de IA, es necesario ir a la fuente original.

    3. I discuss key considerations for using generative AI to analyse qualitative data in an ethical manner and I present an example

      Sin duda el tema de la ética en la investigación cualitativa es clave.

    4. Procedural prompts provide a framework for guiding your analysis rather than offering specific wording. These prompts help you structure your interaction with the AI assistant, allowing you to customize the content based on your unique research needs. Here are the procedural prompts to implement a Conversational Analysis with AI:

      Las indicaciones son la base para poder guiar el proceso de interacción con la IA, mismas que deben hacerse de acuerdo a las necesidades de cada quien en el proceso de investigación, de ahí la importancia de la redacción e la indicación y en los objetivos.