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Activity Theory not only enriches data analysis but also enhances informed and effective decision-making across various contexts.
It is often said, and rightly so, that data quality is essential for both analysis and training an AI... but it is not so common to hear about WHAT data, in particular, WHAT METADATA... I think it is because a robust theoretical framework is not usually used to analyze data (as is done, for example, in science, through theories, etc.).
And in the case of AI, the approach is also important... since it is necessary, in my opinion, to deploy a dialogue (this is what is new and powerful about this instrument) using natural language but within a framework of concepts... in principle, depending on the applications, it is not convenient for AI to be a black box in this sense...
How can we use this analysis with AI?
The goal is to be able to use it to find ideas that solve the tensions found. To do this, the notion of Activity Pattern is used, a mix between Activity Systems and Design Patterns. In this way, the findings in the data can be translated into natural language that describes the system in terms of its components in order to be able to search for solutions with AI. That is where XUL comes in (you can import this type of specifications directly from ZEPPELIN) to use creativity and innovation techniques (such as InnotationTemplates) to propose adjustments to the system.
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Taking AI-assisted creativity as an example, I used XUL to imagine a series of sea creatures as well, in this case to explore a “creative dialogue process.”
To do this, XUL allows for including domain-specific knowledge in the conversation (not just concepts, but also proven techniques, processes, archetypes, templates, roles, etc.)
What attracts me most about this new technology to assist creativity, on the one hand, is the ability to use natural language (even without the need to use English) to interact with the software, and on the other hand the need to have to interact: unfolding a dialogue is a creative process.
XUL is an application/environment to support creativity with AI for MacOS
Developed in an organic way during more than a decade, the resulting knowledge corpus is release to feed an AI (OpenAI based) that supports several specific creative dialogues, techniques, innovation templates, styles, point of views, approaches, qualities, and creative process.
Co-create in an unfolding creative process:
Process Improvement solutions
New Advertisements
Innovative Designs
etc. etc.
Why is XUL for you?
It is based on a robust creative dialogue model, which somehow makes prompt engineering transparent
It has a specific domain of knowledge about creativity, innovation, design and advertising, science and society that is broad and easy to use
It accommodates diverse types of users, from beginners to the most experienced and technical
It is fun
I use it for myself!
External Content
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Prospective using Science Fiction (spanish)
About diversity (spanish)
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