AI transparency statement

Where AI shapes your profile and score.

score4more uses AI to make ESG assessment and benchmarking faster, more consistent, and more scalable. This page sets out where AI is involved across the platform, and what checks apply.

score4more uses artificial intelligence across our website, our platform, and our reporting — from illustrating industries to generating scores. We disclose this by default, independent of whether a specific use falls under a legal labelling requirement such as Article 50 of the EU AI Act.

Every AI-assisted output below is built on the same 14-topic ESG framework, aligned with EU reporting standards ESRS and VS, that underpins the rest of the platform — and we continuously fine-tune the underlying models using your feedback.

Where we use AI

Places AI touches what you see on the website, in the platform, or in a report.

Industry illustration images and photos on website

Images used to illustrate industries across our website and in reports are AI-generated and purely illustrative. They do not depict real companies, people, places, or events.

AI image

Translations of website content, source content, and profile content

Website pages, source documents, and company profile content may be machine-translated into other languages for accessibility. The original-language version governs in case of any discrepancy.

AI lang

Company source data extraction and profile creation in profiling

Company profile content, including text and figures, may be extracted from publicly available and/or submitted source documents and used to pre-fill your profile using AI. If anything in your profile looks wrong, contact us and we’ll correct it.

AI profile

Scoring levels and scoring rationale in scoring

The scoring level and rationale shown in your assessment are generated using AI, based on the data in your profile and the score4more methodology with all scoring criteria used by AI published. Every score is subject to score4more’s methodological quality control.

AI score

Best practice selection and aggregated summaries in benchmarking

Best practices highlighted in benchmarking reports are selected and aggregated into best practice summaries using AI from the analyzed company profiles, then reviewed by the score4more team before publication.

AI best practices

Fine-tuning of green LLM models with user feedback

We fine-tune the language models behind our AI-generated content using feedback from users on that content, to improve accuracy and relevance over time. We use energy-efficient (“green”) model infrastructure where available.

AI feedback

Questions or corrections

If you have questions about how AI is used in your assessment, or want to flag a possible inaccuracy, get in touch.

Support