Many times during my training I used to talk to students about the development of AI and its use. Nowadays I find students making extensive use of AI. But there is a limitation here because making constant use of AI (Artificial Intelligence) is also resulting in OI (Original Intelligence) not being used and becoming redundant and excessive dependence on AI is not good. Making extensive use of AI also means that we are actually insulting OI. After all AI was developed by making use of OI.
So I started giving tasks to my students which could not be solved with the help of AI. Students when they made use of AI in such cases either came out with incorrect answers or with no answers !!
Today let us discuss some points of difference between OI and AI :
The primary difference between Original Intelligence and Artificial Intelligence lies in their nature, origin, and the way they function. Here are some key distinctions:
- Nature: Original intelligence is natural and biological. It arises from the human brain and is a result of evolution over millions of years.
- Creativity and Emotions: Human intelligence includes creativity, emotions, consciousness, and self-awareness. Humans can feel, empathize, and understand complex emotional contexts.
- Learning Process: Humans learn through experiences, sensory inputs, social interactions, and education. Learning can be informal and influenced by cultural, social, and environmental factors.
- Adaptability: Human intelligence is highly adaptable. Humans can learn and apply knowledge across various domains and contexts, often drawing from abstract thinking and intuition.
- Ethical and Moral Judgments: Humans have the capacity to make ethical and moral judgments based on societal norms, values, and personal beliefs.
- Nature: AI is artificial and technological. It is created by humans using computer systems, algorithms, and data.
- Functionality: AI operates based on predefined rules, algorithms, and data input. While advanced AI can mimic certain aspects of human thought processes, it lacks genuine creativity, emotions, and consciousness.
- Learning Process: AI learns through data-driven processes such as machine learning and deep learning. Its learning is often task-specific and depends on the quality and quantity of data provided.
- Specialization: AI is typically designed for specific tasks or problem-solving within defined parameters. Narrow AI excels in specific domains but lacks the general adaptability of human intelligence.
- Ethics and Morality: AI does not possess inherent ethical or moral understanding. Any ethical behavior in AI systems is a result of human programming and guidelines. AI can follow ethical guidelines if explicitly programmed to do so but does not understand them as humans do.
- Origin: Original Intelligence is biological; AI is artificial.
- Components: Original Intelligence includes emotions, consciousness, and abstract thinking; AI is based on algorithms and data.
- Learning: Humans learn through diverse experiences; AI learns from data and predefined rules.
- Adaptability: Human intelligence is highly adaptable across contexts; AI is usually specialized for specific tasks.
- Ethical Understanding: Humans have intrinsic ethical and moral reasoning; AI's ethics are programmed.
In essence, while AI can perform specific tasks with high efficiency and even surpass human capabilities in certain areas, it lacks the holistic and nuanced understanding that characterizes human intelligence.
I know for sure this debate will continue for years. Bring it on!!
