How the studio operates. Content policy, citation standards, RSS fair use, and how to raise a concern or request a takedown.
Original studio content. All original Craig Stanley Studio content — zines, books, audio, video, experiments — is the intellectual property of Craig Stanley Studio and licensed under copyright. Reproduction in any form requires written permission from Craig Stanley Studio.
Third-party news and announcements. Content published via Fringe Dispatches, MSZINE, Microsoft AI Brief, and the AI Week podcast that draws on third-party news and announcements is:
AI-generated content disclosure. Some content on this site is generated with AI assistance (Claude by Anthropic; Gemini by Google). Where AI is used, it is used as a tool under Craig Stanley's editorial direction. All outputs are reviewed before publication. This site does not claim AI-generated text as original journalism.
Every story published in Fringe Dispatches, MSZINE, and Microsoft AI Brief includes the source name and a direct URL to the original material. The AI Week podcast cites its sources in each episode's show notes.
If you believe a citation is incorrect — wrong attribution, broken link, or misrepresented source — please use the query form in Section 4 below. Select Citation error as the query type.
RSS feeds used by this studio are consumed for personal, non-commercial aggregation and summary with attribution. All feed items link back to the original source publishers. This use complies with standard RSS redistribution norms.
If you are a publisher and object to the use of your feed content on this site, please use the query form below and select Content takedown request. Valid requests are addressed as a priority.
Use this form to raise a copyright concern, flag a citation error, request a content takedown, or ask any other question about how your content has been used on this site.
Who reviews it
Every query is read directly by Craig Stanley — no triage queue, no bot.
Copyright & takedown
Copyright concerns and content takedown requests are treated as priority queries.
Citation errors
If a source is wrong or misattributed, it will be corrected and you will be notified.
The following third-party classification systems and datasets are referenced across this site — in the Will AI Steal My Job zine series, podcast episode notes, and related research work. Full attribution is given here in compliance with each licence.
This site includes information from O*NET OnLine by the U.S. Department of Labor, Employment and Training Administration (USDOL/ETA). Used under the CC BY 4.0 licence.
O*NET® is a trademark of USDOL/ETA. O*NET data covers 900+ occupations, tracking tasks, skills, knowledge, abilities, work activities, and work context across the United States labour market. It is the primary occupational information system used in AI workforce research.
This site references the ESCO classification (European Skills, Competences, Qualifications and Occupations), developed by DG Employment, Social Affairs and Inclusion of the European Commission. Used under the CC BY 4.0 licence.
ESCO maps 3,000+ occupations and 13,800+ skills, competences, and qualifications in 27 EU languages. It is the European counterpart to O*NET and is machine-readable and freely available. ESCO's skills hierarchy incorporates elements from O*NET (USDOL/ETA, CC BY 4.0), the Government of Canada Skills and Knowledge Checklist, and Bertelsmann Stiftung's Kompetenz- und Berufekarten (CC BY SA 4.0).
Current version: ESCO v1.2.1 (updated December 2025).
This site operates to Craig Stanley Studio's eight studio code rules:
Editorial independence. There is no sponsored content on this site, no affiliate links, and no paid placement of any kind. The studio operates independently.