#Tag
After 400+ issues tracking digital literacy, I'm convinced the biggest AI risk isn't machines getting too smart. It's us getting too comfortable with cognitive shortcuts.
New analysis: Why "useful friction" might be the most important concept for our automated age.
Full analysis with research links: https://digitallyliterate.net/dl-401/
Plot twist: asking "Is ChatGPT Making You Stupid?" while potentially using AI to think about it 🤔
The real insight? AI should be "the beginning of thought, not the end." It's not about avoiding AI, but using it to enhance rather than replace our thinking.
Are you treating AI as a crutch or a catalyst?
https://slashdot.org/story/25/07/27/1818251/is-chatgpt-making-you-stupid
Plot twist: asking "Is ChatGPT Making You Stupid?" while potentially using AI to think about it 🤔
The real insight? AI should be "the beginning of thought, not the end." It's not about avoiding AI, but using it to enhance rather than replace our thinking.
Are you treating AI as a crutch or a catalyst?
https://slashdot.org/story/25/07/27/1818251/is-chatgpt-making-you-stupid
does anyone have some beginner thoughts for someone just getting into #criticalthinking?
does anyone have some beginner thoughts for someone just getting into #criticalthinking?
Data manipulation within the US Federal Government [1]
👉Government datasets modified without notice.
▪️We gathered metadata from the US Department of Health and Human Services, CDC, and Veterans Affairs database harvest sources [... ] that were modified between Jan 20 and March 25, 2025.
▪️We found that 114 (49%) of the 232 included datasets were substantially altered.
⭐SOME CHANGES⭐
- “Social determinants of health” to “non
medical factors”
- “Gender” to “sex”
- “female details” column deleted
▪️The agencies involved have not issued any statements confirming or explaining these changes [...]
▪️Despite Secretary Robert F Kennedy Jr's (Department of Health and Humana Services) calls for “radical transparency”, unlogged data manipulation moves away from meaningful transparency.
▪️Only 15 (13%) of the 114 altered datasets logged or otherwise indicated that the change had occurred.
[1] 🌐https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)01249-8/fulltext
@publichealth @psychology @sociology @datascience #publichealth #datascience #science #research #health #government #criticalthinking #hhs #cdc #va @bicmay
Data manipulation within the US Federal Government [1]
👉Government datasets modified without notice.
▪️We gathered metadata from the US Department of Health and Human Services, CDC, and Veterans Affairs database harvest sources [... ] that were modified between Jan 20 and March 25, 2025.
▪️We found that 114 (49%) of the 232 included datasets were substantially altered.
⭐SOME CHANGES⭐
- “Social determinants of health” to “non
medical factors”
- “Gender” to “sex”
- “female details” column deleted
▪️The agencies involved have not issued any statements confirming or explaining these changes [...]
▪️Despite Secretary Robert F Kennedy Jr's (Department of Health and Humana Services) calls for “radical transparency”, unlogged data manipulation moves away from meaningful transparency.
▪️Only 15 (13%) of the 114 altered datasets logged or otherwise indicated that the change had occurred.
[1] 🌐https://www.thelancet.com/journals/lancet/article/PIIS0140-6736(25)01249-8/fulltext
@publichealth @psychology @sociology @datascience #publichealth #datascience #science #research #health #government #criticalthinking #hhs #cdc #va @bicmay
A brief #criticalThinking exercise that made Democrats less interested in sharing misinformation (https://doi.org/10.1007/s12144-025-07578-5) failed to impact COVID #vaccine#conspiracyTheory beliefs and #vaccineHesitancy.
Check out the #registeredReport: https://doi.org/10.1080/08870446.2025.2491598
A brief #criticalThinking exercise that made Democrats less interested in sharing misinformation (https://doi.org/10.1007/s12144-025-07578-5) failed to impact COVID #vaccine#conspiracyTheory beliefs and #vaccineHesitancy.
Check out the #registeredReport: https://doi.org/10.1080/08870446.2025.2491598
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