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Revise AI strategy document for clarity and focus#27

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Revise AI strategy document for clarity and focus#27
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Updated the document to clarify the focus on AI strategies in research, including the development of AI methods, components, and platforms. Enhanced the language for better clarity and specificity regarding AI adoption in higher education.

eglerean and others added 3 commits May 22, 2026 17:42
Updated the document to clarify the focus on AI strategies in research, including the development of AI methods, components, and platforms. Enhanced the language for better clarity and specificity regarding AI adoption in higher education.
Updated terminology and corrected typos throughout the document. Enhanced clarity in sections discussing AI strategy and its components.

@Vinye Vinye left a comment

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Here are some thoughts I had when reading this



.. admonition:: General steps for AI strategy
.. admonition:: General steps for AI strategy in research

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Could "General steps" be replaced with something more specific/descriptive? Are these practical and concrete steps universities should implement. Do these have a connection with the three layers described next?


Consumer of AI tools
--------------------
We can think of an AI system as a layered structure. This helps us support the development and adoption of i) new AI methods and AI models, ii) AI components and platforms that turn the methods into building blocks for applications, iii) AI tools that connect the components to the interfaces and workflows used by researchers

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I don't think "AI system" is the best term to use here. I would describe the subsections as perspectives or use cases or similar.

* Research software engineering support for those applying AI to
new fields.

Implementation: focus on Aalto's Triton resource (designed for more

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This is Aalto-specific. You said you wanted a more general version applicable to other universities, so consider dropping this? Moreover, the other two sections have no implementation suggestions, so this is a bit asymmetric

that generate content (writing, code, images, etc). Still, for this,
we are a follower and paying others for the privilege.
Researchers develop new AI methods and AI models, often in the field of machine learning. This is the groundwork
needed for platforms and tools of the future, and is probably what is

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I find "probably" here a bit vague and hand-wavy. I'd prefer something like "... and is what we believe is meant by..."

@Vinye Vinye May 28, 2026

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Or "... and is what we believe is often meant by..."

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3 participants