Andrew Piper reposted
Who's Who of AI
Andrew Piper
Why they matter
Researcher with public evidence across AI business, AI research, NLP & language.
- AI signals
- 6 past 30d
- Sources
- 6 distinct domains
- Discusiones
- 17 past 30d
- Latest signal
- 4d ago
Using #AI and #NLP to study storytelling at McGillU. Author of Enumerations: Data and Literary Study and director of .txtlab.
What they're sharing
The Many Morals of AI: The cautionary bias of North American news narratives in global perspective arxiv.org
How Human-Like Are Large Language Models? A Register-Aware Linguistic Evaluation Framework aclanthology.org
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What Experts Say vs. What People Hear: Can AI Bridge the Gap? txtlab.org
OSF osf.io
How much artificial intelligence should be included in art? | Watch News Videos Online globalnews.ca
Articles & links
Yes this is what we find in our new paper. There are many stories about AI across the globe. Much of the negativity around AI in N. America is tightly coupled with the overall negativity bias of N. American news overall. arxiv.org/html/2610.18...
AI Weekly's analysis
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- Analysis of 12,924 English-language articles across four regions finds North American AI coverage uniquely emphasizes caution over innovation.
- North American outlets produced negative-sentiment AI articles at a 33.1% predicted rate, versus 12.8% to 14.7% in China, India, and the Middle East.
- After adjusting for baseline regional negativity, the North American cautionary gap drops from 15.1 percentage points to 5.0.
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Andrew Piper reposted
Our new research paper by Björn Nieth, Marianna Gracheva @mariannagracheva.bsky.social, Michaela Mahlberg @michamahlberg.bsky.social, Bjoern Eskofier, and Emmanuelle Salin, in a nutshell! 📚 📄 Read the full paper: aclanthology.org/2026.emnlp-m...
Excited to share that our UK–Canada team has won a Doing AI Differently Grant! Working with Cambridge Hospitals, we'll explore how AI can bridge the gap between what experts say and what people hear--starting with communication between clinicians and stroke survivors. txtlab.o…
Andrew Piper reposted
I was reminded of this thread, so quick update that the draft has been revised to include more impacts of GenAI on society (AI-human teams, civic discourse, qual research, AI and bias, and more), and of course more (more! more!) references. Cite *all* the things (we can fit) o…
AI Weekly's analysis
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- Sociologists Laura K. Nelson, Daniel Karell and Thomas Davidson posted a conceptual framework paper on generative AI to SocArXiv on October 25.
- The paper argues that interactivity sets generative AI apart from earlier computational tools and makes it 'distinctly sociological.'
- The authors name three dynamics expected to challenge sociology: scientific practice, social interaction, and algorithmic governance.
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I was asked to weigh in on Canadian TV on recent scandals of authors being dropped by their publishers due to using AI to write their books. My main point was to think of this like an implicit "contract with the reader." What does your audience expect? globalnews.ca/video/1211…
Their own posts
Recent commentary
I think I got the mathematicians' bug today. It's now easy to see how AI will be able to do large scale text analysis for anyone anytime on any question in the very near future (basically now). +
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