Unite.AI

DECEMBER 13, 2023

The need for explainability in AI algorithms becomes important in meeting compliance requirements. Organizations must showcase how AI-driven decisions are made, making explainable AI models important. These models clearly understand the decision-making process, facilitating regulatory compliance audits.

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Pickl AI

APRIL 8, 2024

While AI will undoubtedly change the job market, the extent of job displacement remains uncertain. Example A 2017 study by McKinsey Global Institute estimated that automation could displace up to 800 million jobs globally by 2030. Privacy Concerns As AI systems become more sophisticated, they require access to vast amounts of data.

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DataRobot Blog

MARCH 15, 2022

In addition, as more decisions are guided by machine learning, there’s the prerequisite to monitor, assess, and explain AI model performance against the constant of changing data (volumes fluctuate, casemix varies, clinical system configuration changes, and so on).

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