Alan Turing AI Library
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As businesses increasingly adopt generative AI, this article outlines the three major risks associated with its use ā data privacy, input/output accuracy, and cybersecurity ā and offers strategies for effective risk management.
An overview of how AI technology is being used to assist consumers in recognizing unfavorable contracts, identifying scams, and dealing with pushy sales tactics.
Unveiling the cutting-edge AI-powered apps that can analyze cough sounds to determine their underlying causes, revolutionizing the way we approach respiratory health diagnostics.
This article explores the evolving landscape of AI in cybersecurity, focusing on the use of AI to counter AI-driven cyber threats and the challenges and opportunities this presents.
The National Institute of Standards and Technology (NIST) has released a report detailing various types of cyberattacks targeting AI systems and their potential countermeasures.
The UK spearheads a global initiative in AI security with the introduction of groundbreaking cybersecurity guidelines, co-developed with international partners.
Envisioning a future where home users collaborate to build a GPU-powered AI supercomputer, ensuring the democratization and independence of AI development from corporate and government influence.
AI deepfakes are becoming increasingly sophisticated, posing challenges to digital authenticity and security.