Automatic Disinformation Threatens Democracy— and It’s Here
We recorded 12 claims from this post. 5 were checked against evidence. 7 can’t be checked. 1 more is held. Read the post at its source.
Claims from this post (12)
In the order they appear in the post. Each quotation is the speaker’s words in this post. A label such as “Supported” or “Can’t be checked” is the claim’s current assessment; its page has the evidence and the reasons.
Assessment: Can’t be checkedSaid
Forecast
“Elections may hinge on them.”
Our reading: Elections may hinge on automatic misinformation generation systems.
No horizon
Assessment: Can’t be checkedSaid
Rhetoric
“The killer app of AGI may be killing truth.”
Our reading: The killer app of AGI may be killing truth.
No horizon
Qualifier: may
Assessment: Can’t be checkedSaid
Conditional forecast
“Businesses may be at a disadvantage if they too don’t use such systems, e.g., to counter adverse news, automatically.”
Our reading: Businesses that do not use automatic misinformation generation systems may be at a disadvantage.
No horizon
Only if: if they don't use automatic misinformation generation systems
Assessment: Can’t be checkedSaid
Forecast
“The temptation for all sides to use these tools is likely to be overwhelming.”
Our reading: The temptation for all political sides to use automatic misinformation tools is likely to be overwhelming.
No horizon
Assessment: UnresolvedSaid
Forecast
“Automatic tools like these will surely accelerate the enshittification of the internet that I discussed yesterday.”
Our reading: Automatic misinformation generation tools will accelerate the degradation of the internet.
No deadline stated Evidence as of
Limitation: The assessment uses misinformation contamination as the ordinary contextual meaning of degradation.
Assessment: UnresolvedSaid
Observation
“It’s a powerful reminder that our existing laws are not sufficient to protect us from the full scope of harms that generative AI is beginning to enable .”
Our reading: Existing laws are not sufficient to protect against the full scope of harms generative AI is beginning to enable.
No horizon Evidence as of
Limitation: The legal evidence primarily concerns federal election advertising.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“We ought to demand that any content like this that is automatically generated be labeled (no existing law does that) and watermarked (no existing law does that either)”
Our reading: We ought to demand that any automatically generated content like this (the CounterCloud-style misinformation discussed) be labeled and watermarked, and no existing law requires either.
No horizon
Scope: any content like this that is automatically generated
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“we ought to demand that the wholesale generation of misinformation be punishable; there ought to be enforcement.”
Our reading: Wholesale generation of misinformation should be punishable and enforced against.
No horizon
Assessment: SupportedSaid
Causal claim
“It highlights the inadequacy of the voluntary agreements such as the one that 7 tech companies recently made with The White House. Those agreements called for watermarking, but because they are voluntary, they do nothing to prevent bad actors from rolling their own automated misinformation software.”
Our reading: Because the White House AI agreements with 7 tech companies are voluntary, they are inadequate and do nothing to stop bad actors building their own automated misinformation software.
No horizon Evidence as of
Limitation: The result depends on reading do nothing as no direct constraint on independent development.
Assessment: SupportedSaid
Forecast
“Social media companies better watch out, too; they will be polluted in much the same way as the internet as a whole.”
Our reading: Social media platforms will be polluted by automated misinformation much as the internet as a whole will be.
Settled before its deadline Evidence as of
Limitation: Support depends on reading the comparison as a shared mechanism, not equal prevalence.
Assessment: UnresolvedSaid
Observation
“We have no such thing; building it would require a major reshaping of research directions, towards an AI based in facts and competent in reasoning, rather than just the powerful tools for text prediction that we have now.”
Our reading: We have no AI smart enough to know when it is being used to spew falsehood, and building it would require a major reshaping of research directions toward AI based in facts and competent in reasoning, rather than just the powerful text-prediction tools we have now.
No horizon Evidence as of
Limitation: The cited evaluations precede the publication-date snapshot and are context.
Assessment: Can’t be checkedSaid
Recommendation or value judgment
“What we really need is AI that is smart enough to know when it is being used to spew falsehood.”
Our reading: We need AI smart enough to know when it is being used to spread falsehoods.
No horizon
Held from this post (1)
These records did not pass every check, so nothing about them is published. Held is not a finding.
- The criteria are ambiguous. Our reading, not assessed: As far as the author knows, wholesale misinformation is not illegal in the US except arguably in narrow domains like securities fraud.