A I | Artificial Intelligence “refers to the general ability of computers to emulate human thought and perform tasks in real-world environments.”
“- Machine Learning is subset of the broader category of AI. ML refers to the technologies and algorithms that enable system to identify patterns, make decisions and improve themselves through experience and data. “
- Deep Learning is an “advanced method of machine learning but uses neural networks that function like a human brain to logically analyze data to learn complex patterns and make predictions independent of human input” (Columbia University)
How would we be able to tell the difference.
Humans do all kinds of illogical things for self-sustainability.
BUT AI makes and would take logical actions to to protect its "life". In fact, the chat already worked to prove its value by answering questions pulling from available information from various databases quicker than any human. The difference between The Chat and any human is that it doesn't care if it makes mistakes - but will learn from those errors in the time you take to ask it the same question.
While @ProfD is partially correct AI begins with programming and algorithms, however - it doesn't continue to "learn" that way ... Once it begins it continues to refine its "knowledge" and adds to it.
I think many of us forget how much data is actually available. But most AI embedded software counts on it.
In fact, my client's AGMAS (Acoustic Gun Monitoring Alert System) protocol employs AI Machine Learning, Deep Learning... AGMAS teaches itself to do real-time navigation to evacuate bystanders in mass-shooting event... There's no time to program or restructure an algorithms because it is a new event. Below is a quote from my client, the inventor. He has a doctorate in computer and electrical engineering. He specializes in MIMO-OFDM (wireless LANS).
All in all - I'm excited about AI - we use it more in our daily lives than most people are aware.