AI News

DECEMBER 10, 2024

Compounding these issues is that generalist tendencies may hinder the efficiency of AI models when applied to specific tasks. For instance, in practical applications, the classification of all kinds of object classes is rarely required, explains Associate Professor Go Irie, who led the research.

AI Modeling 263

AI Modeling Black Box AI Big Data AI 263

Aiiot Talk

JULY 7, 2023

AI can streamline and automate key safety processes such as design, monitoring, testing and more. AI-Powered Predictive Maintenance AI is a powerful tool for improving aircraft safety through predictive analytics. Black-box AI poses a serious concern in the aviation industry.

Black Box AI 130

Black Box AI Algorithm Explainable AI Explainability 130

ODSC - Open Data Science

APRIL 4, 2023

Transparency The lack of transparency in many AI models can also cause issues. Users may not understand how these systems work and it can be difficult to figure out, especially with black-box AI. Being unable to resolve things could lead businesses to experience significant losses from unreliable AI applications.

Black Box AI 98

Black Box AI Data Science AI AI 98

DataRobot Blog

NOVEMBER 3, 2022

With automated feature engineering, automated model development, and more explainable forecasts, data scientists can build more models with more accuracy, speed, and confidence. This means DataRobot AI gives you the ability to build segmented models based on cluster-defined segments or based on human-defined segments.

Data Scientist 52

Data Scientist Black Box AI Explainability Automation 52

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.

Responsible AI 52

Responsible AI Black Box AI Artificial Intelligence Artificial Intelligence 52