Aiiot Talk

JULY 7, 2023

When developers and users can’t see how AI connects data points, it is more challenging to notice flawed conclusions. Black-box AI poses a serious concern in the aviation industry. In fact, explainability is a top priority laid out in the European Union Aviation Safety Administration’s first-ever AI roadmap.

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ODSC - Open Data Science

APRIL 4, 2023

Artificial intelligence adoption is booming across businesses of all industries. This is a promising shift for AI developers, and many organizations have realized impressive benefits from the technology, but it also comes with significant risks. Transparency The lack of transparency in many AI models can also cause issues.

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Towards AI

DECEMBER 19, 2023

It is very risky to apply these black-box AI systems in real-life applications, especially in sectors like banking and healthcare. The models are becoming more and more complex with deeper layers leading to greater accuracy. One issue with this current trend is the focus on interpretability is lost at times.

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DataRobot Blog

APRIL 29, 2022

Recently, Stanford University released its 2022 AI Index Annual Report , where it showed between 2016 and 2021, the number of bills containing artificial intelligence grew from 1 to 18 in 25 countries. Opening the “ Black Box AI ”: The Path to Deployment of AI Models in Banking What You Need to Know About Model Risk Management.

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O'Reilly Media

DECEMBER 12, 2023

What should copyright law mean in the age of artificial intelligence? 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.” How do we make sense of this?

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Mlearning.ai

DECEMBER 31, 2023

Principles of Explainable AI( Source ) Imagine a world where artificial intelligence (AI) not only makes decisions but also explains them as clearly as a human expert. This isn’t a scene from a sci-fi movie; it’s the emerging reality of Explainable AI (XAI).

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Pickl AI

DECEMBER 29, 2024

Through ethical guidelines, robust governance, and interdisciplinary collaboration, organisations can harness AI’s transformative power while safeguarding fairness and inclusivity. Responsible AI is essential for creating trustworthy systems that prioritise societal well-being. Frequently Asked Questions What is Responsible AI?

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Artificial Corner

JUNE 21, 2023

We’ve been treated to such awe-inspiring scenarios where artificial intelligence (AI) rises to power, posing a substantial threat to humanity. The assurance is given that the text was written by a human, with the assistance of other human minds, while AI technology aided in creating the accompanying images.

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