Unite.AI

APRIL 9, 2024

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.

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DataRobot Blog

NOVEMBER 3, 2022

Data scientists have used the DataRobot AI Cloud platform to build time series models for several years. Recently, new forecasting features and an improved integration with Google BigQuery have empowered data scientists to build models with greater speed, accuracy, and confidence.

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Mlearning.ai

DECEMBER 31, 2023

Unlike traditional ‘black box’ AI models that offer little insight into their inner workings, XAI seeks to open up these black boxes, enabling users to comprehend, trust, and effectively manage AI systems. Simpler models are generally more interpretable, but might not always deliver the highest accuracy.

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Pickl AI

DECEMBER 29, 2024

Challenges in Unregulated AI Systems Unregulated AI systems operate without ethical boundaries, often resulting in biased outcomes, data breaches, and manipulation. The lack of transparency in AI decision-making (“black-box AI”) makes accountability difficult.

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