Industry leaders and analysts are calling on technology firms to cease describing artificial intelligence in human terms. Critics argue that phrases such as "AI's soul," "confession," or "scheming" mislead the public, inflate expectations, and obscure genuine technical challenges like bias, safety, and transparency. They contend that anthropomorphic language creates a false perception of agency and consciousness in language models, which are fundamentally statistical pattern generators. The push for more precise terminology aims to improve public understanding, reduce misplaced trust, and highlight the real issues that require scrutiny in the rapidly evolving AI landscape. Read more →

A new survey by Elon University’s Imagining the Digital Future Center finds that U.S. adults largely anticipate AI will have a more negative than positive effect on core human capacities such as empathy, critical thinking and self‑identity. While 41% believe AI will deliver as much good as harm, a quarter see the technology’s influence as mostly detrimental and only 9% expect it to improve humanity. Experts are less pessimistic than the public, but both groups highlight worries about mental‑health risks, loss of deep learning, and the potential for AI‑driven decision‑making errors. Read more →

A new survey by Elon University’s Imagining the Digital Future Center finds that U.S. adults largely anticipate AI will have a more negative than positive effect on core human capacities such as empathy, critical thinking and self‑identity. While 41% believe AI will deliver as much good as harm, a quarter see the technology’s influence as mostly detrimental and only 9% expect it to improve humanity. Experts are less pessimistic than the public, but both groups highlight worries about mental‑health risks, loss of deep learning, and the potential for AI‑driven decision‑making errors. Read more →

A new survey by Elon University’s Imagining the Digital Future Center finds that U.S. adults largely anticipate AI will have a more negative than positive effect on core human capacities such as empathy, critical thinking and self‑identity. While 41% believe AI will deliver as much good as harm, a quarter see the technology’s influence as mostly detrimental and only 9% expect it to improve humanity. Experts are less pessimistic than the public, but both groups highlight worries about mental‑health risks, loss of deep learning, and the potential for AI‑driven decision‑making errors. Read more →

A new survey by Elon University’s Imagining the Digital Future Center finds that U.S. adults largely anticipate AI will have a more negative than positive effect on core human capacities such as empathy, critical thinking and self‑identity. While 41% believe AI will deliver as much good as harm, a quarter see the technology’s influence as mostly detrimental and only 9% expect it to improve humanity. Experts are less pessimistic than the public, but both groups highlight worries about mental‑health risks, loss of deep learning, and the potential for AI‑driven decision‑making errors. Read more →

A new survey by Elon University’s Imagining the Digital Future Center finds that U.S. adults largely anticipate AI will have a more negative than positive effect on core human capacities such as empathy, critical thinking and self‑identity. While 41% believe AI will deliver as much good as harm, a quarter see the technology’s influence as mostly detrimental and only 9% expect it to improve humanity. Experts are less pessimistic than the public, but both groups highlight worries about mental‑health risks, loss of deep learning, and the potential for AI‑driven decision‑making errors. Read more →

A new survey by Elon University’s Imagining the Digital Future Center finds that U.S. adults largely anticipate AI will have a more negative than positive effect on core human capacities such as empathy, critical thinking and self‑identity. While 41% believe AI will deliver as much good as harm, a quarter see the technology’s influence as mostly detrimental and only 9% expect it to improve humanity. Experts are less pessimistic than the public, but both groups highlight worries about mental‑health risks, loss of deep learning, and the potential for AI‑driven decision‑making errors. Read more →