Using Artificial Intelligence to Improve Mindfulness and Evaluation Practice

I’ve written and talked before about how the work of evaluators can be supported through mindfulness practice. In this video, I show how mindfulness can be indirectly enhanced through the use of GPT-3, an artificial intelligence technology.

I review GPT-3, explain what the discipline of evaluation is, and discuss the importance of guarding against cognitive biases for evaluators to perform their jobs effectively.

I also discuss mindfulness and the use of what are called reflective questions to promote mindfulness. I explain how, through improving mindfulness, they can be used to reduce cognitive dissonance that can result in biased thinking.

Finally, I show how I used GPT-3 to come up with additional reflective questions that evaluators can use to promote mindfulness to positively influence their evaluation practice.

OUTLINE:
0:00 - Introduction
1:00 - What is Generative Pre-trained Transformer - 3 or GPT-3?
4:03 - Evaluation and the need to mitigate the impact of biased thinking
5:30 - Reflective questions as a way of developing mindfulness
6:52 - Cognitive dissonance theory as an example of a process leading to cognitive bias
8:07 - Reflective questions for physicians and evaluators
8:46 - Using the GPT-3 to develop additional reflective questions
15:31 - Examples of reflective questions that can be used to reduce cognitive bias
17:47 - Conclusions and next steps

BLOG POST:
https://evalnetwork.com/using-artificial-intelligence-to-improve-mindfulness-and-evaluation-practice/

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