Language:
English
Pages:
1 online resource (10 pages)
Edition:
1st edition
Keywords:
Electronic books ; local
Abstract:
Biases related to gender and other demographic factors creep into decisions about which projects to fund with venture capital. Data-driven approaches can help tease out those biases and limit their impact. Algorithmic methods identify potential instances of discrimination and increase transparency, making it easier to find and fix problems. Aversion to algorithms can be tempered by letting decision makers retain some subjective control over the data-driven process.
Note:
Online resource; Title from title page (viewed August 21, 2019)
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Mode of access: World Wide Web.