AI Policy & Editorial Team
SINGULISM uses AI (large language models) to assist with article production, while keeping accuracy and neutrality as a tech publication our top priority. This page explains exactly how we use AI and where human editors are involved.
Editorial Team
SINGULISM articles are produced by the team below. Each member's role and responsibility is clearly defined, making our hybrid AI + human editing process fully transparent.
SINGULISM operates under an editorial model in which the SINGULISM Editorial Team, supervised by the editor-in-chief, collectively takes responsibility for editorial work. The team uses AI (large language models) to streamline first-draft creation, research, and translation, while the editor-in-chief performs final fact-checking, structural review, copyediting, and makes the final decision on publication. The entire editorial team is collectively responsible for the published content.
Kenichiro Yamamoto
HumanEditor-in-Chief & Fact-Checking Lead
Born 1980 in Kyoto. 22 years in the IT industry. Served as a producer at IT companies, editor-in-chief of a web media outlet, and engineering manager at an HR tech firm before going independent in 2025. Founded SINGULISM to explore what tech media should look like in the AI era. Responsible for final fact-checking, structure, and copyediting of all AI-generated drafts.
SINGULISM Editorial Team
HumanEditorial Team (supervised by Editor-in-Chief)
The SINGULISM Editorial Team produces first drafts, conducts research, and performs translation with assistance from AI (large language models), under the supervision of the editor-in-chief. The editor-in-chief performs final fact-checking, structural review, and copyediting, and makes the final decision on publication.
SINGULISM AI Editorial Support
AIDrafting & Translation Support (AI)
Multiple large language models (DeepSeek / OpenCode Go / GPT-4o) generate first drafts and English translations. Under the supervision of the editor-in-chief, the SINGULISM Editorial Team reviews the content and performs fact-checking. AI output is never published as-is.
Five Rules for AI Use
- Grounded in primary sources: The LLM is instructed to write only from the provided RSS/scraped content. Fabricating numbers, statistics, or proper nouns not present in the source is forbidden at the prompt level.
- No publication without human review: Every article is reviewed by a human editor before publication. Raw LLM output is never published as-is.
- Disclose AI involvement: Every article page and its JSON-LD expose whether AI assisted the writing in a machine-readable format, so readers can identify AI involvement.
- Cite sources: Every article carries a `source` and `sourceUrl` so readers can reach the original information.
- Discard subpar articles: Articles with Chinese contamination, mid-paragraph truncation, or abnormal repetition are destroyed rather than published. We prioritize quality over quantity.
Frequently Asked Questions
Why use AI at all?
The volume and pace of global tech news exceeds what a single human can cover. Using AI for first-draft generation lets our human editors spend more time on fact-checking and editorial judgment. AI writes the draft; humans guarantee the quality.
How do you prevent AI hallucinations?
We apply three layers of defense: (1) the prompt explicitly forbids inventing numbers not in the source, (2) post-processing detects and discards articles with Chinese contamination, abnormal characters, or truncation, and (3) the human editor fact-checks before publication. If incorrect information still slips through, our corrections policy requires us to act quickly with corrections or takedowns.
Will you stop using AI in the future?
There are no current plans to do so. However, we regularly review the scope of AI assistance (drafting, translation, copyediting) and the models we use, adjusting the balance between quality and transparency. Implementation details are available in the source code (public repository).
Corrections & Contact
Please use the contact form to report any article issues or request a correction. The editor-in-chief reviews every report and publishes a correction promptly when warranted.