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.

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DataRobot Blog

APRIL 29, 2022

Opening the “ Black Box AI ”: The Path to Deployment of AI Models in Banking What You Need to Know About Model Risk Management. More on this topic. The Framework for ML Governance. Download now. The post What is Model Risk and Why Does it Matter?

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Unite.AI

DECEMBER 19, 2024

AI is becoming a more significant part of our lives every day. But as powerful as it is, many AI systems still work like black boxes. They make decisions and predictions, but its hard to understand how they reach those conclusions.

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LevelAI

AUGUST 9, 2023

In our testing, we found that QA-GPT can cover over 85% of scorecard questions out of the box without any extra configuration. Say goodbye to black-box AI models where you’re never quite sure if the AI got it right. We’re also improving the transparency of evaluations.

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O'Reilly Media

DECEMBER 12, 2023

The problem with Lanier’s concept of data dignity is that, given the current state of the art in AI models, it is impossible to distinguish meaningfully between “training” and “generating output.” He asks, “Why don’t bits come attached to the stories of their origins?

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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.

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DataRobot Blog

NOVEMBER 3, 2022

We want to avoid that “black box AI” where it’s unclear why certain decisions were made. As experienced data scientists, we understand that modeling is only part of our work. But if we can’t communicate insights to others, our models aren’t as useful as they could be. It’s also important to be able to trust the model.

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Artificial Corner

JUNE 21, 2023

However, imposing strict regulations on AI could clash with the principles of open science and hinder the flow of information that is critical for progress. Unveiling the Black Box One of the primary challenges in regulating AI lies in the inherent opacity of its algorithms.

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