AI Industry Analysis Book
Jump to navigation
Jump to search
A AI Industry Analysis Book is an AI analysis book that examines AI industry practices through investigative research and critical analysis.
- Context:
- It can typically analyze AI Company Operations through AI industry field research and AI insider interviews.
- It can typically examine AI Development Practices including AI labor conditions and AI resource consumption.
- It can typically critique AI Industry Narratives surrounding AI technological progress and AI societal benefits.
- It can typically document AI Supply Chains from AI data collection to AI model deployment.
- It can typically reveal AI Power Structures within AI technology companies and AI research institutions.
- ...
- It can often explore AI Environmental Impacts through AI carbon footprint analysis and AI water usage documentation.
- It can often investigate AI Labor Practices including AI data worker conditions and AI content moderator experiences.
- It can often challenge AI Marketing Claims through AI performance verification and AI limitation exposure.
- It can often incorporate AI Whistleblower Accounts and AI internal documents.
- ...
- It can range from being a Journalistic AI Industry Analysis Book to being an Academic AI Industry Analysis Book, depending on its AI industry analysis methodology.
- It can range from being a Single-Company AI Industry Analysis Book to being a Sector-Wide AI Industry Analysis Book, depending on its AI industry analysis scope.
- It can range from being a Contemporary AI Industry Analysis Book to being a Historical AI Industry Analysis Book, depending on its AI industry analysis time period.
- It can range from being a Critical AI Industry Analysis Book to being a Balanced AI Industry Analysis Book, depending on its AI industry analysis perspective.
- ...
- Example(s):
- Contemporary AI Industry Analysis Books (2020s), such as:
- Empire of AI (2025 Book) by Karen Hao, examining OpenAI and ChatGPT development with AI labor impacts.
- Atlas of AI (2021 Book) by Kate Crawford, analyzing AI systems as extractive industry.
- Artificial Unintelligence (2018 Book) by Meredith Broussard, critiquing technochauvinism in AI development.
- AI Ethics Analysis Books, such as:
- Weapons of Math Destruction (2016 Book) by Cathy O'Neil, examining algorithmic bias in AI decision systems.
- Race After Technology (2019 Book) by Ruha Benjamin, exploring racial bias in AI technology design.
- Algorithms of Oppression (2018 Book) by Safiya Noble, analyzing search engine bias.
- AI Company Investigation Books, such as:
- Google-Focused AI Analysis Books examining search algorithm manipulation and AI data monopoly.
- Facebook/Meta AI Analysis Books investigating social media algorithms and AI content curation.
- Amazon AI Analysis Books exploring AI workplace surveillance and algorithmic management.
- AI Labor Analysis Books, such as:
- Ghost Work (2019 Book) by Mary Gray and Siddharth Suri, documenting AI invisible labor.
- Behind the Screen (2019 Book) by Sarah Roberts, examining commercial content moderation.
- Voices from the Valley (2020 Book) by Ben Tarnoff and Moira Weigel, featuring tech worker interviews.
- AI Environmental Analysis Books, such as:
- AI Climate Impact Books documenting AI carbon footprints and AI energy consumption.
- AI Resource Extraction Books examining AI hardware materials and AI supply chain impacts.
- ...
- Contemporary AI Industry Analysis Books (2020s), such as:
- Counter-Example(s):
- AI Technical Textbooks, which focus on AI algorithm implementation rather than AI industry critique.
- AI Business Strategy Books, which promote AI adoption without AI critical analysis.
- AI Promotional Books, which celebrate AI achievements without examining AI negative impacts.
- See: AI Book, AI Industry Analysis, AI Societal Impact, Technology Criticism, Investigative Journalism, AI Ethics, Surveillance Capitalism.