Proving you're a human on a web flooded with generative AI content
The Expanding Dark Forest and Generative AI
An exploration of the problems and possible futures of flooding the web with generative AI content
Google Search's guidance about AI-generated content | Google Search Central Blog | Google for Developers
In this post, we'll share more about how AI-generated content fits into our long-standing approach to show helpful content to people on Search.
Library: Faculty Guide to Generative AI: Detecting AI
Generative artificial intelligence: The Times and Sunday Times editorial guidelines
As we explore the potential of generative artificial intelligence our commitment is to uphold our high editorial standards.
Study Finds A Third of New Websites are AI-Generated
Researchers found the internet is becoming aggressively positive as AI-generated text floods the web.
The AI Aesthetic
Writing about the big beautiful mess that is making things for the world wide web.
In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.
The Impact of AI-Generated Text on the Internet
The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative...
The Impact of AI-Generated Text on the Internet
The proliferation of AI-generated and AI-assisted text on the internet is feared to contribute to a degradation in semantic and stylistic diversity, factual accuracy, and other negative...
Where does the rigor go? Research software and the future of trustworthy science.
Generative AI now makes it dramatically easier to produce something that looks like research: analysis code, figures, literature reviews, even whole pap…
Google’s broken link to the web
With AI search results coming to the masses, the human-powered web recedes further into the background
My AI Content Journey
I apologize ahead of time, what follows has no tooling applied to it. No grammar checks, no AI, and...
Use of generative artificial intelligence | ÉPICBiodiversity
An alternative version of this document was initially drafted by Timothée Poisot with input from members of the Viral Emergence Research Initiative, and further revised based on a conversation with group members. For this reason, it is excluded from the CC BY-NC-SA license under which the rest of the website is published, and may not be reproduced without permission.
The governance & behavioral challenges of generative artificial intelligence’s hypercustomization capabilities
Generative artificial intelligence (GenAI) is changing human–machine interactions and the broader information ecosystem. Much as social media algorithms personalize online experiences, GenAI applications can align with user preferences to customize the way individuals interact with information. However, through training, fine-tuning, and prompting, GenAI applications can introduce a new level of customization: hypercustomization. By dynamically tailoring responses to an individual’s explicit and implicit preferences, hypercustomization can reinforce biases, false beliefs, or misconceptions. As a result, it can heighten significant societal challenges, such as the spread of misinformation and political and social polarization. In this article, we explore the risks associated with hypercustomization and the governance and behavioral challenges that might impede effective risk mitigation. These challenges include a lack of transparency in GenAI applications, opacity of the nature of their interactions with users, users’ overreliance on these systems, and the inefficacy of warning messages. We also provide recommendations for overcoming these challenges.
Playing with AI inference in Firefox Web extensions
The personal blog of Thomas Steiner