Authors: Rick Dakan (Professor of Creative Writing, AI Coordinator, Ringling College of Art and Design, rdakan@c.ringling.edu)
Joseph Feller (Professor of Information Systems and Digital Transformation, Cork University Business School, University College Cork, Ireland. jfeller@ucc.ie)
Citation: Dakan, Rick and Feller, Joseph. "Framework for AI Fluency (Practical Summary Document)," Version 1.0, Ringling.edu/ai/, 2024. https://ringling.libguides.com/ai/framework Retrieved on [insert date here].
License: CC BY-NC-ND 4.0
The framework has also been (and continues to be) informed by the ongoing design and delivery of student courses, as well as faculty seminars and workshops, at both the Ringling College of Art and Design and the Cork University Business School, in the 2023/2024 and 2024/2025 Academic Years. A scientific paper presenting the development of the framework, and discussing its intellectual roots and implications in full, is currently in preparation.
This document presents a summary of the framework simply as a practical tool that is designed to inform discourse and practice in higher education on curriculum and assessment design, academic policy setting, student employability and career coaching, and similar topics in the context of AI (and particularly GenAI) digital disruption.
Although primarily aimed at higher education, we imagine that the framework in this form will also benefit other educational levels, and indeed organizations more widely addressing the challenges and opportunities of GenAI.
The three core AI Modalities are fundamentally concerned with the functional role(s) played by the AI tool. These modalities represent distinct approaches to integrating AI (particularly GenAI) into creative and problem-solving tasks. Each modality encompasses various aspects of human-AI collaboration, such as the degree of autonomy granted to AI systems. The selection of an appropriate modality depends on the specific requirements of the task, the capabilities of the AI systems, the desired balance between human creativity and AI assistance, and other factors.
The four core competencies (Fig 2) describe the interconnected human skills, knowledge and values that enable effective and responsible AI use in creative and professional contexts.
a) Goal and Task Awareness:
b) Platform Awareness:
c) Task Delegation:
Subcategories:
a) Product Description:
b) Process Description:
c) Performance Description:
Subcategories:
a) Product Discernment:
b) Process Discernment:
c) Performance Discernment:
Subcategories:
a) Creation Diligence:
b) Distribution Diligence:
Diligence Statement: In the creation of this document, we used Claude 3.5 Pro to assist in text creation and refinement. We affirm that all AI-generated content underwent thorough vetting, editing, and curation by the human co-authors. The final document accurately reflects our understanding, expertise, and intended meaning. While AI tools were instrumental in the writing process, we maintain full responsibility for the content, its accuracy, and its presentation. This disclosure is made in the spirit of transparency and to acknowledge the evolving role of AI in content creation and other intellectual work.