Let's Data Science publishes a daily news section covering artificial intelligence, data science, machine learning, and the companies, research, and policy shaping them. This page explains how that content is produced, sourced, and held to a standard our readers can trust.
1.Who we are
Let's Data Science is operated by AIDriven Technologies Pvt. Ltd., based in New Delhi, India. Editorial responsibility for the news section rests with Let's Data Science.
2.Sourcing
News items on Let's Data Science are compiled from a range of publicly available materials — including third-party publisher articles, press releases, company and research-lab announcements, research publications, and public search results.
Each story begins from one or more initial sources. For emerging or fast-moving stories, initial reporting may rest on a single source. As the same event is subsequently covered by additional outlets, we add those sources to the article so readers can see the fuller picture as it develops. Every article carries a visible Sources list linking back to the original reporting.
3.Editorial process
Our editorial workflow combines automated tooling with editorial oversight by Let's Data Science. Summaries, headlines, and analysis shown on our news article pages are produced and curated by Let's Data Science and are not verbatim reproductions of the source articles.
We write in our own words, frame stories from the perspective of AI and data-science practitioners, and link back to the original reporting in multiple places so credit and traffic flow to the original authors.
4.Attribution and linking back
Every news article links back to its original sources from multiple places:
- A dedicated Sources panel showing every outlet we drew from, with domain and headline
- A visible caption beneath the lead image crediting the publisher
- Inline links within the summary where directly quoted or closely paraphrased
Preview images shown on news articles are hotlinked from the original publisher's own servers and are never re-hosted on our infrastructure. Full details are in our Image Rights, Trademarks and Takedown Policy.
5.Standards
We hold our news content to the following standards:
- We do not publish claims we cannot attribute to a named public source.
- Where a subject of an article has issued a public response or denial, we note it.
- Where a story is still emerging and details remain contested, we frame it as such rather than as settled fact.
- We do not accept payment, sponsorship, or any other consideration in exchange for favourable news coverage, placement, or removal. Any promoted or sponsored placements elsewhere on the platform are clearly labelled as such.
If you believe a factual claim in one of our articles is wrong, please see our Corrections Policy for how to request a review.
6.Independence
Let's Data Science is independently operated and self-funded through its learning platform and subscription products. We have no editorial affiliation with any of the companies, research labs, or publications whose work we cover. Coverage decisions are made on the basis of relevance to our readership and nothing else.
7.Contact
For image and trademark matters, see our Copyright policy. For a specific factual correction, see our Corrections policy. This page is governed by the laws of India. Any disputes shall be subject to the exclusive jurisdiction of the courts of New Delhi.