AI News

DECEMBER 10, 2024

While some existing methods already cater to this need, they tend to assume a white-box approach where users have access to a models internal architecture and parameters. Black-box AI systems, more common due to commercial and ethical restrictions, conceal their inner mechanisms, rendering traditional forgetting techniques impractical.

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Unite.AI

MARCH 14, 2024

The opportunities afforded by AI are truly significant – but can we trust black box AI to produce the right results? Instead of utilizing AI systems that they cannot explain – black box AI systems – they could utilize AI platforms that use transparent techniques , explaining how they arrive at their conclusions.

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Towards AI

NOVEMBER 7, 2024

It also highlights ways to improve decision-making strategies through techniques like dynamic transition matrices, multi-agent MDPs, and machine learning for prediction. It highlights the dangers of using black box AI systems in critical applications and discusses techniques like LIME and Grad-CAM for enhancing model transparency.

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Unite.AI

DECEMBER 19, 2024

LLMs are helping us connect the dots between complicated machine-learning models and those who need to understand them. LLMs as Explainable AI Tools One of the standout features of LLMs is their ability to use in-context learning (ICL). Lets dive into how theyre doing this.

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Unite.AI

APRIL 9, 2024

Several times black-box AI models have produced unintended consequences, including biased decisions and lack of interpretability. Composite AI is a cutting-edge approach to holistically tackling complex business problems. It achieves this by integrating multiple analytical techniques into a single solution.

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Aiiot Talk

JULY 7, 2023

Analyzing Aircraft With Digital Twins AI-powered analytics can improve safety through digital twins as well as predictive maintenance. Digital twins often use machine learning and AI to simulate the effects of operational or design changes. Black-box AI poses a serious concern in the aviation industry.

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DataRobot Blog

APRIL 29, 2022

The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. Among these, Spain, the United Kingdom, and the United States passed the highest number of AI-related bills in 2021 adopting three each. More on this topic. Download now.

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