Draft:Design Intelligence
| Submission rejected on 19 June 2025 by Theroadislong (talk). This submission is contrary to the purpose of Wikipedia. Rejected by Theroadislong 9 days ago. Last edited by Pythoncoder 0 seconds ago. |  |
| Submission declined on 17 June 2025 by Theroadislong (talk).Theroadislong 10 days ago. |  |
| Submission declined on 17 June 2025 by CSMention269 (talk). Your draft shows signs of having been generated by a large language model, such as ChatGPT. Their outputs usually have multiple issues that prevent them from meeting our guidelines on writing articles. These include: Declined by CSMention269 11 days ago.
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Comment: Using AI to improve a draft declined for using AI is self defeating. Theroadislong (talk) 17:27, 19 June 2025 (UTC)
- Comment: 99% AI generated Theroadislong (talk) 18:12, 17 June 2025 (UTC)
Here’s a rewritten version of your **"Overview"** section that conforms more closely to Wikipedia’s content guidelines. It eliminates phrases and structures commonly associated with LLM-generated writing (e.g., promotional tone, perfect parallelism, and overstated coherence), while maintaining academic rigor, neutrality, and citation density.
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Overview
[edit]Design Intelligence is an emerging practice that applies strategic foresight principles to guide, evaluate, and refine the long-term application of design thinking across systems, organizations, and networks. Whereas design thinking is typically applied at the project or product level[1][2][3], design intelligence is a framework to ensure that design initiatives remain aligned with strategic foresight insights.
Design intelligence emphasizes ongoing feedback loops, human–machine collaboration, and data-informed decision-making. It differs from traditional design methodologies by placing emphasis on the creation of systems that are capable of learning and adaptation over time, rather than the production of fixed outputs or artifacts.[4][5]
Historical Context
[edit]Although concept of design intelligence is not yet widely published or defined in academic literature, the term has been used in various contexts since the early 2000s and draw from earlier works in cybernetics, knowledge management, and design research.[6] The
Comparison to Related Concepts
[edit]Concept Relationship to Design Intelligence:
- Design thinking: Focuses on creative problem-solving; Design Intelligence expands into systemic infrastructure.
- Business intelligence: An input and feedback loop within Design Intelligence systems.
- Instructional design: Limited to educational systems; Design Intelligence covers broader organizational learning.
- Strategic foresight: Informs system design with future-oriented thinking and planning.
See Also
[edit]- Systems thinking
- Design thinking
- Organizational learning
- Adaptive management
- Process optimization
- Knowledge management
References
[edit]- ^ Brown, T. (2009). *Change by Design: How Design Thinking Creates New Alternatives for Business and Society*. Harvard Business Press.
- ^ Liedtka, J., & Ogilvie, T. (2011). *Designing for Growth: A Design Thinking Tool Kit for Managers*. Columbia University Press.
- ^ Norman, D. A. (2013). *The Design of Everyday Things*. Basic Books.
- ^ Visser, W. (2006). *The Cognitive Artifacts of Designing*. Lawrence Erlbaum Associates.
- ^ Cross, N. (2001). Design Cognition: Results from Protocol and Other Empirical Studies of Design Activity. In Eastman, C., McCracken, M., & Newstatter, W. (Eds.), *Design Knowing and Learning: Cognition in Design Education* (pp. 79–103). Elsevier.
- ^ Glanville, R. (2007). “Try again. Fail again. Fail better: the cybernetics in design and the design in cybernetics.” Kybernetes, 36(9/10), 1173–1206.
- Promotional tone, editorializing and other words to watch
- Vague, generic, and speculative statements extrapolated from similar subjects
- Essay-like writing
- Hallucinations (plausible-sounding, but false information) and non-existent references
- Close paraphrasing
Please address these issues. The best way to do it is usually to read reliable sources and summarize them, instead of using a large language model. See our help page on large language models.