Remove Artificial Intelligence Remove Automation Remove Black Box AI
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Machine unlearning: Researchers make AI models ‘forget’ data

AI News

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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Using AI for Predictive Analytics in Aviation Safety

Aiiot Talk

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.

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What is Model Risk and Why Does it Matter?

DataRobot Blog

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. The Framework for ML Governance.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

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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What is Responsible AI

Pickl AI

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?