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bias and ethics

AI's growing enterprise gaps explain why AWS SageMaker is growing


We are excited to bring Transform 2022 back in-person July 19 and virtually July 20 - August 3. Join AI and data leaders for insightful talks and exciting networking opportunities. There are troubling gaps revealed in a new report showing that enterprises are not prioritizing security, compliance, fairness, bias and ethics. The study, conducted by O'Reilly, shows AI's adoption is struggling to reach maturity today and lacking prioritization in these areas may be, in part, a reason why. O'Reilly's annual survey of enterprise AI adoption found that just 26% of organizations have AI projects in production, the same percentage as last year. In addition, 31% of enterprises report not using AI in their business today, a figure that is up from 13% last year.

Tech leaders fear the outcomes of biased AI: report


Companies working with AI fear losing money or staff over AI bias, but there's additional risk in being outpaced by competition if projects fail due to AI bias. To jump ahead of algorithmic bias, over half of companies with mature AI implementations check the fairness, bias and ethics of their AI platforms, according to the O'Reilly 2021 AI Adoption in the Enterprise report. One approach yielding results for organizations is the development of in-house centers of excellence, said Marshall Choy, SVP, product at SambaNova. These institutions can address the technical aspects of AI as well as "the business and organizational implications of governance, dealing with topics like bias and ethics of AI." Despite ethical challenges, AI remains a top enterprise technology priority.