Voice Recognition Systems Struggle with Accuracy for Black Speakers: A Discussion on Responsible AI
March 23, 2020
A recent study revealed that voice recognition tools from major tech companies, including Apple, Amazon, Google, IBM, and Microsoft, exhibited a higher error rate when transcribing speech from black speakers. This underscores the importance of trustworthy AI and the need for guardrails to ensure safe and secure AI systems. JOIN US This AI incident maps to the Govern function in HISPI Project Cerebellum Trusted AI Model (TAIM).
- Alleged deployer
- microsoft, ibm, google, apple, amazon
- Alleged developer
- microsoft, ibm, google, apple, amazon
- Alleged harmed parties
- black-people
Source
Data from the AI Incident Database (AIID). Cite this incident: https://incidentdatabase.ai/cite/102
Data source
Incident data is from the AI Incident Database (AIID).
When citing the database as a whole, please use:
McGregor, S. (2021) Preventing Repeated Real World AI Failures by Cataloging Incidents: The AI Incident Database. In Proceedings of the Thirty-Third Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-21). Virtual Conference.
Pre-print on arXiv · Database snapshots & citation guide
We use weekly snapshots of the AIID for stable reference. For the official suggested citation of a specific incident, use the “Cite this incident” link on each incident page.