Can anyone name one common natural language process that GenAI has not turned to shit, either by reducing quality/originality, introducing critical errors, or overwhelming/breaking with volume? Honestly I’m struggling to come up with even one example. Can it really be a disaster in every case?
Shannon Vallor
In our next EDMO BELUX Lunch Lecture webinar Stephan Lewandowsky will present his perspectives on the problematic relationship between the Internet, especially the engagement-based business model of social media platforms, and democracy.
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Fake Plastic Voters: When Political Parties Can Use AI-Simulated Focus Groups doi.org/10.13140/RG....
Our latest edition of Journalism Today features stories on an expansion of the alliance of publishers combating AI misuse, YouTube overtaking Netflix viewing rates globally and Cuban journalism in exile.
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So apparently KPMG wrote a report describing the successful use of AI by businesses. But the case studies turned out to be AI hallucinations.
www.ft.com/content/b382...
Study reveals: “authoritarians don’t need to staff their regimes with ideological true believers, offer extreme enticements or impose draconian punishments in order to make successful power grabs.” Instead, they “need to figure out how to target their ideal labor pool: the frustrated and mediocre.”
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PDF | Political parties strive to understand their electorates, and focus groups are a vital tool in these efforts. AI-enhanced simulation technologies... | Find, read and cite all the research you ne...
Agentic AI Optimisation (AAIO): What It Is, How It Works, Why It Matters, and How to Deal with It link.springer.com/article/10.1...
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"AI has Tinderized hiring. Workers are applying to hundreds of positions & never hearing back; companies are receiving thousands of resumes & struggling to respond. More than that, AI has Amazoned hiring. It has scrubbed the uniqueness out of applications..."
www.theatlantic.com/ideas/2026/0...
Should non-experts in computer science, such as journalists and fact-checkers, learn prompt engineering? Here are some food for thought on the topic. Strategic Simplicity Gets the Most: Evaluating Prompting Techniques in Non-Expert AI-Assisted Fact-Checking www.tandfonline.com/doi/full/10....
Bogus case studies on UBS and transit systems exaggerated adoption of the technology
Despite the well-known risks of bias, inaccuracy, and hallucination, large language models (LLMs) are increasingly used by journalists and fact-checkers. However, the potential of prompting strateg...
NEW: Hackers say that they used Meta’s AI support chatbot to break into a host of high-profile Instagram profiles by asking the support bot to change the email address associated with the target account.
Thankful Thinker
The exploit shows the extreme risk of offloading technical support to AI.
