Jon Preston
@jprestonslp.bsky.social
Speech Sound Disorders, Motor learning, biofeedback, CAS, clinical trials, AI, science, facts, LGBTQ+ rights
Reposted by Jon Preston
How can a clinician evaluate if clinical AI is valid, reliable, & designed to work without bias for real clinical speakers it has never seen before? This article explores how the CARE-AI framework can help.
@nrg.bsky.social @jprestonslp.bsky.social
@nrg.bsky.social @jprestonslp.bsky.social
Equipping Speech-Language Clinicians for the Critical Appraisal of an Artificial Intelligence–Driven, Evidence-Based Future
Purpose: Artificial intelligence (AI) is more capable and accessible than ever before. But what does this mean for clinical practice? How can spe...
on.asha.org
May 16, 2025 at 1:39 PM
How can a clinician evaluate if clinical AI is valid, reliable, & designed to work without bias for real clinical speakers it has never seen before? This article explores how the CARE-AI framework can help.
@nrg.bsky.social @jprestonslp.bsky.social
@nrg.bsky.social @jprestonslp.bsky.social
Reposted by Jon Preston
🆓🔓 Munson B, Wruck C @nrg.bsky.social & @jprestonslp.bsky.social. (2024). Gender and age biases in the assessment of speech accuracy: A study of speech-language clinicians' ratings of /s/ accuracy. IJSCD, 59(6), 2878–2895. doi.org/10.1111/1460...
🦋 #bskySPEECHIES
🦋 #bskySPEECHIES
Gender and age biases in the assessment of speech accuracy: A study of speech‐language clinicians’ ratings of /s/ accuracy
Purpose
Typically developing children assigned male at birth (AMAB) and children assigned female at birth (AFAB) produce the fricative /s/ differently: AFAB children produce /s/ with a higher spectr.....
doi.org
February 27, 2025 at 8:36 PM
🆓🔓 Munson B, Wruck C @nrg.bsky.social & @jprestonslp.bsky.social. (2024). Gender and age biases in the assessment of speech accuracy: A study of speech-language clinicians' ratings of /s/ accuracy. IJSCD, 59(6), 2878–2895. doi.org/10.1111/1460...
🦋 #bskySPEECHIES
🦋 #bskySPEECHIES