Latest AI Security Bill Targets Weaknesses in AI

AI Security Bill: Artificial intelligence (AI) is changing many industries fast, like healthcare, finance, transportation, and entertainment. But as AI grows, people worry about how secure it is. To address these concerns, there’s a new bill in the Senate called the Secure Artificial Intelligence Act. It’s brought by Senators Mark Warner (D-VA) and Thom Tillis (R-NC).

The act suggests two main things to make AI safer:

  1. Setting up a central database to keep track of AI breaches.
  2. Making a special research center to find ways to fight against AI security problems.
AI Security Bill

Creating a system to detect breaches in AI

The Secure Artificial Intelligence Act includes a key component: the establishment of a national database to track AI security breaches. This database, managed by the National Institute of Standards and Technology (NIST) and the Cybersecurity and Infrastructure Security Agency (CISA), will serve as a central place to document incidents where AI systems have been compromised. Additionally, the act requires the inclusion of “near misses” in the database, which means recording incidents where attacks were almost successful. This helps gather important information to prevent future security issues. Read also Best AI Tools For Affiliate Marketing

The bill’s attention to near misses is important. Usually, security databases only record confirmed incidents. But near misses can also reveal important security weaknesses. By recording these close calls, the database can give a fuller picture of potential AI threats. This helps researchers and developers find and fix vulnerabilities before they become problems.

A specialized facility to combat AI dangers

The Secure Artificial Intelligence Act suggests creating an Artificial Intelligence Security Center at the National Security Agency (NSA). This center would focus on researching ways to counteract harmful AI methods. By understanding these techniques, it aims to develop strong defenses against potential attacks on AI systems by malicious actors. Read this 5 Best AI Apps for Couples

The act emphasizes four key ways to counter AI threats:

  1. Data tampering
  2. Evading attacks
  3. Protecting privacy
  4. Preventing misuse

Data poisoning means adding bad data to an AI’s training data to mess up its results. Evasion attacks change inputs to sneak past an AI’s security. Privacy-based attacks find holes in how AI handles personal info. Abuse attacks misuse an AI’s features for bad stuff.

Studying these techniques can help the Security Center come up with ways to lessen their effects. This can lead to better guidelines for making AI systems that are safer and stronger.

Creating a national breach database and a research center can give us useful info and tools to make AI systems safer. Check this article also Addressing Key Issues in AI Security Challenges Low-Code/No-Code Development

But, it’s not an easy fix. Finding ways to counter AI threats is tough too. These methods could be used to defend against attacks, but also to launch them.

To make the Secure Artificial Intelligence Act work, we need to put it into action and keep working together. Governments, businesses, and researchers all need to pitch in.

As AI grows, we have to stay on our toes to keep it safe. The new bill sets out a plan, but we’ll need to keep adapting to make sure AI does more good than harm.

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