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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.

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How Do Inherently Interpretable AI Models Work? — GAMINET

Towards AI

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

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Is Rapid AI Adoption Posing Serious Risks for Corporations?

ODSC - Open Data Science

Violations of Europe’s General Data Protection Regulation (GDPR) have already cost some corporations more than $1 billion in fines , so companies must be increasingly careful of how they use their information. Bias and Inequality AI can also introduce societal issues like exaggerating bias if corporations aren’t careful.