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Who Is Responsible If Healthcare AI Fails?

Unite.AI

Who is responsible when AI mistakes in healthcare cause accidents, injuries or worse? Depending on the situation, it could be the AI developer, a healthcare professional or even the patient. Liability is an increasingly complex and serious concern as AI becomes more common in healthcare. AI Gone Wrong: Who’s to Blame?

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How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

Last Updated on December 21, 2023 by Editorial Team Author(s): Indraneel Dutta Baruah Originally published on Towards AI. The models are becoming more and more complex with deeper layers leading to greater accuracy. The models are becoming more and more complex with deeper layers leading to greater accuracy.

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

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. AI’s rapid growth could lead more companies to implement it without fully understanding how to manage it safely and ethically. What Risks Does AI Pose to Corporations?

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Unlocking the Black Box: LIME and SHAP in the Realm of Explainable AI

Mlearning.ai

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). What is Explainable AI?

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Copyright, AI, and Provenance

O'Reilly Media

Generative AI stretches our current copyright law in unforeseen and uncomfortable ways. In the US, the Copyright Office has issued guidance stating that the output of image-generating AI isn’t copyrightable, unless human creativity has gone into the prompts that generated the output. This distinction is attractive for several reasons.

AI 101
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The future of QA is here, meet QA-GPT

LevelAI

These solutions are often powered by legacy AI systems that are limited in scope or worse, without AI at all. QA-GPT We’ve launched a new and improved version of our existing Auto-QA product using the latest and most cutting-edge AI advancements: Introducing QA-GPT! We’re also improving the transparency of evaluations.

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Enhancing AI Transparency and Trust with Composite AI

Unite.AI

The adoption of Artificial Intelligence (AI) has increased rapidly across domains such as healthcare, finance, and legal systems. However, this surge in AI usage has raised concerns about transparency and accountability. Composite AI is a cutting-edge approach to holistically tackling complex business problems.