Mission & Values
Deepnews.ai is based on a simple idea: building a system to spotlight quality journalism from the web, in real-time and at scale.
The fundamentals of our approach are:
- Quality journalism is essential for preserving and fostering democracy. Right now, it is diluted in a torrent of noise that has little to do with being informed.
- Misinformation is a real threat to democracy. Today, there is not a single election unaffected by toxic news. No Artificial Intelligence system can be used efficiently to fight misinformation.
- However, A.I. and natural language processing can vastly help quality journalism to emerge from the background noise. Therefore making original reporting more visible and increase its economic value.
That’s why we developed Deepnews.ai.
The first example is our lineup of specialized newsletters. At least fifteen newsletters to be launched during 2020 and beyond.
Each newsletter addresses a specific sector that is forward-looking, recent in its development, and thus lightly covered. This explains the choice of most of the topics: autonomous cars, the future of food, facial recognition, or the space business. We also elected to include misinformation as we want to be at the forefront of the fight against news manipulation.
We regard A.I. as a powerful tool but not as a solution to everything
The Deepnews Scoring Model, which is at the core of our system, carries all the promises and the uncertainties of the field. It’s a black box, and so we don’t know exactly how the model scores the articles we submit (although we have some clues). However it is highly scalable, and our algorithm is tamper-proof as it would require considerable resources to be reverse-engineered.
We are an editorial and tech company—in that order
The choices we make every week, such as the vetting of the 1000s of sources we monitor, are first and foremost editorial decisions. Deepnews.ai is the result of a unique alignment between two spheres that historically barely speak to each other: journalism and engineering. We have spent hundreds of hours learning to understand each other’s businesses, such as what makes a good story (a challenging question), or how to translate components of great journalism into a mathematical framework. On a daily basis, while the production of our newsletters is largely automated, the final decision is left to our editors, who can remove a story they deem as improperly scored by the model.
This is just the beginning
Right now, Deepnews.ai and its proprietary scoring technology are a work in progress. A year from now, they might have morphed into something completely different. In the A.I. field, technology evolves at lightning speed, as new tools show up every quarter. We also know about the intrinsic imperfection of any machine learning model is the data that feed them. We take great care to develop the least possible biased information model by constantly refining it.