Generative A.I. has the potential to bring about a revolutionary transformation in businesses of all sizes and types. However, the implementation of this technology also carries significant risks. It is crucial to ensure the reliability of the A.I. system and protect it from potential hacks and breaches.
The main challenge lies in the fact that A.I. technology is still relatively young, and there are no widely accepted standards for constructing, deploying, and maintaining these complex systems.
To address this issue and promote standardized security measures for A.I., Google has introduced a conceptual framework called SAIF (Secure AI Framework).
In a blog post, Royal Hansen, Google’s vice president of engineering for privacy, safety, and security, and Phil Venables, Google Cloud’s chief information security officer, emphasized the need for both public and private sectors to adopt such a framework.
They highlighted the risks associated with confidential information extraction, hackers manipulating training data to introduce faulty information, and even theft of the A.I. system itself. Google’s framework comprises six core elements aimed at safeguarding businesses that utilize A.I. technology.
Here are the core elements of Google’s A.I. framew
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