Incorporating AI Into Your Repository When You'd Rather Not

<span style="font-weight: 400;">Generative AI models and products have become very popular over the past few years. Many large institutions, including universities, are licensing these products and are strongly encouraging their employees to use them in their work. However, these advocates often skip over problems inherent in generative AI platforms, such as inaccuracies, slop, climate and power concerns, aggressive crawling behavior, and ethical and copyright concerns. To help mitigate these issues in my own work, I have developed key points and questions to consider when evaluating generative AI projects which are proposed for the systems under my purview. In this presentation, I will very briefly describe my thought process about adopting AI in repositories as a background for attendees. I will share my key points and questions with which I evaluate potential AI projects and speculate on future generative AI plans for my managed repositories.</span>