Biases in AI Systems.
- Resource Type
- Article
- Authors
- SRINIVASAN, RAMYA; CHANDER, AJAY
- Source
- Communications of the ACM. Aug2021, Vol. 64 Issue 8, p44-49. 6p. 1 Color Photograph, 1 Diagram.
- Subject
- *ARTIFICIAL intelligence
*ARTIFICIAL intelligence & ethics
*HUMAN facial recognition software
*INSTITUTIONAL racism
*MACHINE learning
- Language
- ISSN
- 0001-0782
The article criticizes the ethics of artificial intelligence systems with a focus on alleged systemic racism within computer facial recognition software. The alleged responsibilities of machine learning developers in preventing race biases from being integrated into artificial intelligence processes are outlined and potential biases in phases of machine learning including sampling, measurement, and negative sets are described.