5 AI Risks Businesses Must Confront and How to Address Them

Featured Expert | TechTarget SearchEnterpriseAI

 

TechTarget SearchEnterpriseAI published this article on April 28, 2020, featuring Seth Earley among a panel of AI experts. The piece examines five enterprise AI risks organizations must address, including the magnification of bias and errors at scale, unintended ethical consequences, erosion of human skills, and failures caused by poor training data. Seth is quoted on the foundational data problem at the heart of most AI failures: AI must be taught the fundamentals of the business, and no algorithm can turn bad data into good data.

Read the full article on TechTarget: https://www.techtarget.com/searchenterpriseai/feature/5-AI-risks-businesses-must-confront-and-how-to-address-them

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Earley Information Science Team

We're passionate about managing data, content, and organizational knowledge. For 25 years, we've supported business outcomes by making information findable, usable, and valuable.