Myth 3: AI is the same as machine learning.

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In reality, however, AI systems are only as good as the data they’re trained on and the algorithms that guide them.

“When it creates incorrect responses, it is based on how the AI has processed the information, including the commands it was given and also based on the data it has been trained on,” Nadja Atwal of the Global AI Council says.

They can misunderstand context, generate incorrect information, or even produce misleading answers — a phenomenon called AI hallucination. Interestingly, research has also proven that AI could lie on purpose.

In a simulation to study strategic deception, Apollo Research bangladesh whatsapp number database discovered a version of GPT-4 committing insider trading and then lying to cover it up. In cases where the AI is deliberately trained to be dishonest, research also found it’s impossible to fix or retrain the models.

Many people use the terms interchangeably, assuming they all refer to the same thing. Wherever AI is mentioned, it’s easy to automatically assume that it is referring to technology that learns and improves from experience. But this is not always the case.

biggest ai myths: quote from Sean that AI and ML are not the same

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Reality
Artificial intelligence accounts for a broad range of technologies and techniques called subsets. These subsets include machine learning (ML), natural language processing (NLP), robotics, neural networks, expert systems, and genetic algorithms, among others.

They’re often used in combination to develop some of your favorite AI solutions. Look at ChatGPT, for example. The platform is built on a combination of AI subsets, including ML (specifically reinforcement learning) and NLP.