Can We Trust AI? Statistics Has The Answer

AI can be highly accurate yet still fail in real-world settings. Bias, poor data, and unexpected inputs highlight why reliability, testing, and trust remain critical challenges.

Can We Trust AI? Statistics Has The Answer

AI systems can achieve impressive accuracy, yet remain vulnerable to real-world failures caused by biased data, distribution shifts, adversarial attacks, and model weaknesses. Building trustworthy AI requires rigorous testing, reliability assessment, and continuous monitoring

Dr Khalid W. A. Shomali

9 hours ago6 min read

Shifting Data-Driven Frameworks in Healthcare

AI is transforming healthcare through diagnostics, predictive analytics, and workflow automation, but challenges such as bias, transparency, and trust require strong governance and continuous clinical oversight.

Prof Gillie Gabay

4 days ago5 min read

Which Companies Are Betting on Artificial Intelligence?

Financially unstable firms may be more willing to invest in AI, treating uncertainty as a strategic opportunity rather than a reason to avoid innovation.

Dr Francesco Venturini

5 days ago5 min read

Empowering Nurses to Navigate AI Safely

Nurses play a key role in ensuring AI is used safely and ethically in healthcare. By combining clinical judgment, digital skills, and patient-centered care, they help integrate AI responsibly while protecting patient safety and improving care quality.

Prof Gillie Gabay

6 days ago6 min read

Job-Ready Today, Job-Obsolete Tomorrow? Vocational Training as a Substitute for University in Europe

Vocational training is expanding rapidly across Europe as an alternative to university, offering faster entry into work and strong early employment outcomes. Yet evidence suggests these advantages may fade later in life, as highly specific skills risk becoming obsolete in changing labour markets.

Dr Fernando Pinto Hernández

May 267 min read

Your job is not your tasks

Why AI will kill some occupations and leave others strangely intact — and why the difference has nothing to do with what a machine can do

Prof Emanuele Bracco

May 126 min read

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A Data-Driven, Academic Level,
Deep Dive to Reality

The Antevorta Foundation is a forward-thinking and innovative non-profit organisation named after the Roman deity of the future. We are dedicated to advancing the global understanding of critical issues in a variety of fields, through pluralistic sociological and international public policy discussions.

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Can We Trust AI? Statistics Has The Answer

Can We Trust AI? Statistics Has The Answer

Shifting Data-Driven Frameworks in Healthcare

Which Companies Are Betting on Artificial Intelligence?

Empowering Nurses to Navigate AI Safely

Job-Ready Today, Job-Obsolete Tomorrow? Vocational Training as a Substitute for University in Europe

Your job is not your tasks

A Data-Driven, Academic Level, Deep Dive to Reality

Be the first to know.

A Data-Driven, Academic Level,
Deep Dive to Reality