Editorial commitment
Our pledge to you
At Risk.net our coverage follows three guiding principles: integrity, authority and value.
Integrity
Maintaining the trust of our readers is paramount. To this end, we are committed to ensuring our journalism is fair and unbiased. In our reporting, we will always cover both sides of a story, but we may not give equal weight to both sides in a published article – one of the jobs of an editor or journalist is to filter information, not just to collect and present it.
We are accountable and transparent. If we get something wrong, our policy is to publish a correction notice on any affected article.
No-one is able to buy coverage, or buy access to our journalists. Our editorial teams are independent: there are no reporting lines that cross from the editorial side of the organisation to the commercial side. Sources who work at a company with which we have a commercial relationship are treated the same as any other sources.
Authority
We are committed to producing editorial content that is accurate and in-depth. The markets and industries we cover are often complex, and we aim to report on them in a clear way, avoiding unnecessary jargon.
Much of our output results from interviews with senior practitioners in often highly regulated areas of the industry, and brings together multiple stakeholders. This breadth of reporting gives weight to our journalism. By necessity, we sometimes have to anonymise our sources.
Value
We strive to produce information that will help you do your job better.
This means providing journalism that is up-to-the-minute and materially important. We gather information that cannot be found elsewhere, or that would be difficult to obtain otherwise, on topics that are generally under-reported or ignored by other outlets.
We are not in competition with newswires and the mainstream business and financial press – we are not trying to offer comprehensive coverage, nor are we motivated primarily by the desire to be first.
We value you, our readers. In turn, we aim to remain valuable to you.
Kris Devasabai, Editor-in-Chief, Risk.net
Risk.net shares these principles with its sister titles, FX Markets, WatersTechnology and Central Banking.
If you feel we are falling short on any of our commitments – or you have other comments on our coverage – please let us know.
Artificial intelligence and Risk.net: a note
Risk.net is monitoring the development of generative AI, and its implications for creative work including written and visual journalism. We understand that the technology holds great promise as well as dangers.
Like other publishers, we are exploring how the technology might support our editorial processes, and how it could help us develop new products, services and formats for subscribers.
We currently limit our editorial application of GenAI to the following tasks:
- helping to extract and organise the data that sits behind some of our editorial products;
- conducting background research, in a similar fashion to a search engine;
- as an editing aid, in a similar fashion to Grammarly and other tools.
We also use a walled-off version of a large language model to write summaries of our journalism articles. These summaries are treated as draft copy, and go through our normal (human) editing and subbing process, prior to publication on the relevant article.
In all other cases, our journalists and editors are not allowed to use LLMs to create content. Nor are they allowed to copy and paste from LLM interfaces, or to use any AI-suggested edits verbatim.
The overarching principle is that our journalists, editors and production staff are responsible for every word, chart and image in any article that is in their care.
If and when our GenAI usage policy changes, we will inform you, our readers. We will also ensure that material that is fully or partially created through GenAI will continue to be clearly labelled.
In any future where generative AI is used more widely in our newsroom, editorial decisions will continue to be made by humans, even if some of the supporting work is done by machines. Good journalism requires judgement: we believe judgement calls should always be made by people who have a clear understanding of their impact, and can be held accountable.