We need to shift our focus from technology to interactive design of AI systems. The true
future of AI lies in design, not in more powerful algorithms and CPUs. You need to understand the
human context, and just thinking can make you more human.
2.WHY AI IS NOT HUMAN?
After centuries of development, humans interpret and think about their surroundings in
unique ways, and even AI systems cannot do this. You can learn to act like a human, but you can’t
learn to think like a human. Despite petabytes of data, it is impossible to properly train AI systems
like humans.
3.HOW CURRENT AI GET INFORMATION?
AI systems mimic human psychological information and process information in three
distinct phases.
1. Reception: This part of the system has receptors that receive signals and transmit
them via electromagnetic signals to processing agents.
2. Interpretation: Understand the data recorded and how it should be processed
according to user specifications.
3. Learning: The system understands the entire process and learns or creates recordings
of specific tasks. AI systems must learn how real humans complete certain tasks.
These abilities have led to the development of systems such as Alexa and Siri. This
allows you to expand your reference library to unlock the full potential of your
system. However, this is the real challenge of modern AI systems. Systems like Alexa
and Siri are manually supervised by back-end engineers, so these systems don’t
operate on intelligence alone. Rather, they are AI systems supported by humans to
function.