The development of counterfeit AI is a real concern as it is often created by humans with their own implicit biases and limited perspectives.
Counterfeiting AI (CAI), which imitates human intelligence, behavior, and tasks, is a serious economic threat to industries, workforce, and the overall economy.
It’s important to state that artificial intelligence (AI) is classified into three main types:
- Artificial narrow intelligence (ANI), which has a narrow range of abilities.
- Artificial general intelligence (AGI), which is on par with human capabilities.
- Artificial superintelligence (ASI), which is more capable than a human.
One of the primary concerns regarding large language model (LLM) systems is their potential impact on the job market. Due to the impressive content they generate, these systems are now being referred to as “human-competitive intelligence,” which could lead to workers being replaced by LLM systems in a wide range of professions, including art, writing, programming, and finance.
A recent study conducted by Open AI, OpenResearch, and the University of Pennsylvania explored this issue, comparing GPT-4 capabilities to job requirements. The study found that 20% of the U.S. workforce may have at least 50% of their tasks impacted by GPT-4, with higher-income jobs facing a greater impact.
Counterfeit AI is a Major Threat
Counterfeit AI is the act of imitating the human brain, intelligence, or behavior. It is a fraudulent imitation that can deceive individuals into believing that the fake is of equal or greater value than the real thing. This is particularly concerning for industries that rely on AI, such as healthcare and finance. If a counterfeit AI is used in these industries, it can lead to disastrous consequences for individuals and the economy as a whole.
The Importance of Real AI-Based Detection Systems
To combat the threat of counterfeit AI, real AI-based detection systems are needed. These systems will allow the general public to identify counterfeit machine learning (ML) applications, neural network (NN) products, and deep learning (DL) services. The goal is to stop any counterfeit AI that could lead to the theft or destruction of authentic human intelligence, behavior, and tasks.
