1. Recently I’ve received lots of emails from people I don’t know personally, asking for my feedback on their books or papers. They explain the connection between my work and theirs and ask me to take a look. The catch, of course, is that the emails are transparently, obviously, written by AI.
Aug 17, 2026 at 8:25 AM
Our AI Philosophy | Typefully
Social media runs on an implicit contract: I write something, you follow me, you read it, and you trust it came from a human mind. AI writing is curr…
I work, I think? - Annotated
How AI may quietly dismantle the feedback loop that turns inexperienced people into competent ones, and why my work matters to me.
Email transparency
Many people have asked about how this email openness actually works. Is it really the case all our mail is copied to a list? If so, how do we avoid drowning in email?
Biased AI writing assistants shift users’ attitudes on societal issues
Artificial intelligence (AI) writing assistants powered by large language models (LLMs) are increasingly used to make autocomplete suggestions to people as they write text. Can these AI writing assistants affect people’s attitudes in this process? In two large-scale preregistered experiments ( N = 2582), we exposed participants writing about important societal issues to an AI writing assistant that provided biased autocomplete suggestions. When using the AI assistant, the attitudes participants expressed in a posttask survey converged toward the AI’s position. However, a majority of participants were unaware of the AI suggestions’ bias and their influence. Further, the influence of the AI writing assistant was stronger than the influence of similar suggestions presented as static text, showing that the influence is not fully explained by these suggestions, increasing accessibility of the biased information. Last, warning participants about assistants’ bias before or after exposure does not mitigate the attitude-shift effect. , Biased AI writing assistants shift people’s attitudes about societal issues; common interventions do not prevent this influence.
Biased AI writing assistants shift users’ attitudes on societal issues
Artificial intelligence (AI) writing assistants powered by large language models (LLMs) are increasingly used to make autocomplete suggestions to people as they write text. Can these AI writing assistants affect people’s attitudes in this process? In two large-scale preregistered experiments ( N = 2582), we exposed participants writing about important societal issues to an AI writing assistant that provided biased autocomplete suggestions. When using the AI assistant, the attitudes participants expressed in a posttask survey converged toward the AI’s position. However, a majority of participants were unaware of the AI suggestions’ bias and their influence. Further, the influence of the AI writing assistant was stronger than the influence of similar suggestions presented as static text, showing that the influence is not fully explained by these suggestions, increasing accessibility of the biased information. Last, warning participants about assistants’ bias before or after exposure does not mitigate the attitude-shift effect. , Biased AI writing assistants shift people’s attitudes about societal issues; common interventions do not prevent this influence.
AI Use Disclosure resources
Here's a quick and handy list of options to turn to when thinking about how to disclose AI use in your own work. Cover image credit: Peter Musser, CC-0/public domain
Automatic Against the People: Reading, Writing, and AI
AI-generated responses are undermining crowdsourced research studies
Many answers to online research questions show signs of being generated by AI chatbots, raising doubts about the validity of behavioural data collected this way
Deepfakes, Scams, and the Age of Paranoia
As AI-driven fraud becomes increasingly common, more people feel the need to verify every interaction they have online.
The Emergent Self Loop
Nearly once a week I receive an email from a different stranger.
AI assistants can sway writers’ attitudes, even when they’re watching for bias | Cornell Chronicle
Cornell Tech researchers found that writers who used biased AI auto-suggestions saw their views gravitate toward the AI’s positions without their realizing it — even when they were made aware of the biased AI.
How do authors want to use AI for review?
A survey of researchers who compared AI-generated scientific reviews with journal-agnostic human peer review reveals that they overwhelmingly prefer using AI as a self-checking tool before submission rather than as a replacement for human reviewers. It encourages an “author-centric” model in which AI helps researchers improve their manuscripts before they are reviewed by their peers.
What You Need to Know About Grok AI and Your Privacy
xAI’s generative AI tool, Grok AI, is unhinged compared to its competitors. It’s also scooping up a ton of data that people post on X. Here’s how to keep your posts out of Grok—and why you should.
How to write cold emails to investors – lessons from 30 VCs
Want to get your cold email to investors opened and read? Learn from the tips of some of the top VC investors.
Brands using AI-generated influencers to promote products on social media
Investigation finds AI content that purports to show genuine customers, prompting calls for greater transparency
When to Ask a Question: Understanding Communication Strategies in Generative AI Tools
This summary was generated using automated tools and was not authored or reviewed by the article's author(s). It is provided to support discovery, help readers assess relevance, and assist readers from adjacent research areas in understanding the work. It is intended to complement the author-supplied abstract, which remains the primary summary of the paper. The full article remains the authoritative version of record. Click here to learn more.
