The Uninvited Author
The Uninvited Author: AI, Intent, and the Future of Content provides critical guidance for content operations in the age of artificial intelligence. AI changes the balance of power between authors and readers, and understanding this shift is the key to successful AI content initiatives.
In the rush to AI, many organizations have ignored the product liability, algorithmic bias, and fabrication risks. The Uninvited Author confronts these issues and explores how to navigate the hidden costs of AI for customer-facing and especially regulated content.
Tailored for executives, content professionals, and educators, The Uninvited Author is full of practical advice to build sustainable AI operating models.
The Uninvited Author is indispensable for resilient content operations in the age of AI.
The Uninvited Author: AI, Intent, and the Future of Content
302 pages
Authors:
- Carlos Evia
- Sarah O’Keefe
Buy from Scriptorium:
- PDF digital download (exclusively available from Scriptorium)
- Print edition with free digital download
Resources
Regulations
- AI regulation scanner: China
- EU AI Act: First regulation on artificial intelligence
- EU AI Act: High-level summary
- Datasheets for datasets
- We have to take the future of A.I. into our own hands
- AI watch: Global regulatory tracker—United States.
Copyright and intellectual property
- Practical tips for authors to protect against AI use: AI copyright notice and web crawlers
- SynthID
- Margaret Atwood on what AI can’t replace
- Open-weight models aren’t enough
- Copyright registration guidance, US Copyright Office
Bias, risk, and ethics
- Seven failure points when engineering a retrieval augmented generation system
- Data statements for natural language processing: Toward mitigating system bias and enabling better science
- On the dangers of stochastic parrots: Can language models be too big?
- Hijacking large audio-language models via context-agnostic and imperceptible auditory prompt injection
- Bias and fairness in large language models: A survey
- What is AI ethics?
- Algorithmic bias as a core legal dilemma in the age of artificial intelligence: Conceptual basis and the current state of regulation.
- Magnifica humanitas: On safeguarding the human person in the time of artificial intelligence
- Institutional sovereignty in the age of AI.
- Nightshade: Prompt-specific poisoning attacks on text-to-image generative models
- AI models collapse when trained on recursively generated data
- Gender, race, and intersectional bias in resume screening via language model retrieval
- Lina Khan on the AI-safety panic
History of publishing
- Methods and techniques of adaptive hypermedia
- As we may think
- The Luttrell Psalter
- Personalization in personalized marketing: Trends and ways forward
- The Netflix recommender system: Algorithms, business value, and innovation
- The history of printing in Asia according to Library of Congress Asian collections – Part 1, East Asia
- Product differentiation and market segmentation as alternative marketing strategies
Theory
- Audience addressed/audience invoked: The role of audience in composition theory and pedagogy
- Genre as social action
- Toward a deep electronic literature: The generalization of documents and media
Applied AI
- Instruction Manuel is the main online presence of Manny Silva
- Thinking Documentation is the repository of papers and ideas from Michael Iantosca
- llmstxt.org
- What is ChatGPT doing … and why does it work?
- Scalable agent alignment via reward modeling: A research direction
- How does AI think in token language?
- What to know about Chinese AI models
Localization
- Multilingual LLM performance gap analysis.
- Understanding cross-lingual inconsistency in large language models
- The state of multilingual LLM safety research: From measuring the language gap to mitigating it