Augmenting Scholarly Publishing: Intelligent Emerging Tools & Trends
Issue # 2: Embracing AI to be either Cyborgs or Centaurs
Welcome, ScholCom/MedCom peers,
As folks are warming up for some 👻 Spooky Halloween Fun 👻, we thought it to be the 🍂 perfect season 🍂 to review what is brewing in the emerging world of 🤖 cyborgs and 🦄 centaurs in scholarly publishing. 🧙♀️Trick-or-Treat or 💀 Cyborg-or-Centaur?
Though 🤯 AI tech bros like Sam Altman intend to replace normal people with AI, 🦄the ones who leverage AI to augment their skills will emerge as the centaurs creating new opportunities. As the scholarly publishing industry embraces the use of AI, it is natural for folks to segregate in the 🤖 cyborg and centaur camps . 👀 Real world evidence of stakeholders from various parts of the scholarly publishing domain indeed identifies them as cyborgs, centaurs, or simply luddites! While some of us are warming up to the new cyborg-centaur trends, others have already moved on to ☠️ poisoning the generative AI tools to fight back for identity and authenticity and yet others are challenging 👽 how close AI is at the imitation game - 👻 BOO 👻
Detailed Summaries:
Sam Altman Says He Intends to Replace Normal People With AI: Though median intelligence may not always equate to median performance by a worker, for the past couple of years, Sam Altman has been claiming to replace human workers with median intelligence with artificial general intelligence (AGI).
The centaur's edge may help amateurs beat experts: If folks can train themselves to effectively leverage the available AI tools, they can augment their skills to outperform not just themselves, but also the experts that rely solely on their expertise.
Are You a Cyborg or Centaur? Navigating the Future of Work with AI: AI is here, to stay. How you leverage AI in your workflow may dictate how you harness new opportunities more effectively. Adoption of AI may be challenging and may offer an advantage, but smart adoption may really provide the edge depending on your needs.
How ChatGPT and other AI tools could disrupt scientific publishing: This Nature piece explores how various stakeholders in the scholarly publishing domain are currently leveraging generative AI to transform this field.
A new data poisoning tool lets artists fight back against generative AI: Artists are using a new masking technique called Nightshade from the University of Chicago to trick machine learning models that skews interpretation and may prevent AI companies from scraping their authentic works.
AI is closer than ever to passing the Turing test for ‘intelligence’. What happens when it does?: AI is getting spooky good at mimicking human conversation, but concerns arise over deception, privacy, and job displacement. One solution is to develop strong regulations and ethical guidelines to ensure responsible AI use, protecting individuals and jobs while fostering innovation.
Avi’s AI Tool Spotlight:
SciScore
Reproducibility checklists are very useful tools to remind us of the things that we should remember when publishing our results. They are required by major funders and many journals, but they are also difficult to remember, and can be hard and annoying to fill out.
SciScore helps authors remember the common features of these checklists and generate several checklists with one quick run of the tool.
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Until next week,
Chhavi Chauhan and Chirag Jay Patel
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