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Everything you need to know about how Light & Space operates, protects your data, and the terms under which you use our website.
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This website is published by Light & Space, a Scandinavian textile design studio. All content, including text, imagery, and pattern designs, is the intellectual property of Light & Space unless otherwise credited.
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AI, Authorship and Provenance
Last updated: June 2026
Effective Communication Comes First
We recognise that contemporary writing and communication are increasingly produced through collaboration between people, software, and AI systems — including spelling and grammar tools, translation systems, generative AI, large language model reasoners, research tools, and editorial systems. We do not consider the mere use of such tools to determine authorship, ownership, responsibility, or the value of a communication. A tool is a means of production; its use does not, by itself, establish that the resulting work was authored by the tool, nor does it diminish the contribution of the person who directed, evaluated, edited, or accepted the result.
Authorship Is Not a Binary Property
We distinguish between authorship, contribution, and provenance. A person may originate an idea, supply source material, direct an analysis, make editorial decisions, verify factual claims, or accept responsibility for a final communication while using computational tools extensively in its production. For this reason, statements such as "AI-generated" or "human-generated" can be insufficient to describe how a significant communication was actually produced. Where provenance is relevant, we prefer to describe the transformation history of a piece of work: its sources, material contributions, tools used, human interventions, editorial decisions, and verification.
Provenance Does Not Mean Tool Surveillance
We do not regard the detection of AI-like characteristics in a text as proof of AI authorship. Statistical detection can suggest that a text resembles material produced by a class of systems, but it cannot by itself establish who produced the text, quantify a tool's contribution, or determine whether the use of that tool was legitimate. AI-detection results should be treated as signals requiring context, not as definitive evidence of authorship or misconduct — and the same applies in reverse: the absence of a detection signal does not prove a text was produced entirely by a human.
Responsibility Remains Human
Where a person publishes, submits, approves, or otherwise presents a communication as their work, that person remains responsible for the claims and representations they make, subject to the applicable contractual, professional, and legal framework. Using an AI or LLM system does not transfer responsibility to the system. Human review should be proportionate to the significance and potential consequences of the communication, with particular care taken over factual claims, legal or regulatory assertions, confidential information, and personal data.
Communication Is the Objective
The purpose of writing is not to demonstrate that a particular tool was absent from the production process — it is to communicate something accurately, appropriately, and effectively to its intended audience. We favour assessment based on the qualities that matter to the communication itself: accuracy, meaning, clarity, context, provenance where relevant, accountability, and fitness for purpose. Where a context genuinely requires unaided human performance, that requirement should be stated explicitly and assessed directly.
A Practical Principle
The fact that a tool participated in producing a piece of work is less important than understanding what the tool contributed, what the human contributed, what has been verified, and whether the resulting communication achieves its intended purpose. We favour provenance over presumption, context over binary classification, and effective communication over artificial distinctions between human and tool contribution.