Stop Blaming Humans for Bias in AI - KDnuggets

For example, when applying a mindful AI approach and leveraging the power of a global talent pool, developers can account for linguistic elements such as different dialects and accents in the data sets. At a recent Fortune Most Powerful Women Summit, speakers underscored the value of putting in place a diverse team of people. For instance, Lisa Edwards, president and COO of Diligent, said that having people from diverse backgrounds in data science governance positions prevents a situation where a group's bias simply reinforces the technology's bias. Mindful AI extends that notion to the resources that companies use to perform data collection and curation. Establishing a human-centered design framework from the beginning is critical.