Artificial Intelligence is based on human insights that can be decided in a way that can machine can effortlessly actualize the tasks, from the basic to those that are indeed more complex. The reason for manufactured insights is learning, problem-solving, reasoning, and perception.
This term may be connected to any machines which show related to a human intellect such as examination and decision-making and increments the efficiency.
AI covers assignments like robotics, control systems, face recognition, scheduling, data mining, and numerous others.
Advantages of Artificial Intelligence (AI):
- AI can process vast amounts of data much faster than humans.
- AI can work around the clock without needing breaks or rest.
- AI can perform tasks that are too dangerous or difficult for humans.
Disadvantages of Artificial Intelligence (AI):
- AI lacks the creativity and intuition that humans possess.
- AI is limited by its programming and may not be able to adapt to new or unexpected situations.
- AI may make errors if not programmed and trained properly.
Human intelligence or the behavior of the human being has come from past experiences and the doings based upon situation, and environment. And it is completely based upon the ability to change his/her surroundings through knowledge which we gained.
It gives diverse sorts of information. It can provide data on things related to a particular aptitude and knowledge, which can be another human subject, or, within the case of locators and spies, diplomatic data which they had to get to. So, after concluding all it can give data on interpersonal connections and arrange of interest.
Advantages of Human Intelligence (HI):
- HI has creativity, intuition, and emotional intelligence that AI lacks.
- HI can adapt to new and unexpected situations.
- HI can provide ethical and moral considerations in decision-making.
Disadvantages of Human Intelligence (HI):
- HI is limited by its physical and mental capabilities.
- HI is prone to biases and may make errors or poor decisions.
- HI requires rest and breaks, which can slow down processes.
Similarities between Artificial Intelligence (AI) and Human Intelligence (HI):
- Both AI and HI can learn and improve over time.
- Both AI and HI can be used to solve complex problems and make decisions.
- Both AI and HI can process and interpret information from the world around them.
Below is a table of differences between Artificial intelligence and Human intelligence:
|AI is an advancement made by human insights; its early improvement is credited to Norbert Weiner who theorized on criticism mechanisms.
|On the other hand, human creatures are made with the intrinsic capacity to think, reason, review, etc.
|Artificial intelligence (AI) strives to build machines that can mimic human behavior and carry out human-like tasks.
|Human intelligence seeks to adapt to new situations by combining a variety of cognitive processes.
|Machines are digital.
|The human brain is analogous.
|AI-powered machines rely on input of data and instructions.
|Humans use their brains’ memory, processing power, and cognitive abilities.
|Pace/Rate of AI and human
|As compared to people, computers can handle more data at a speedier rate. For occurrence, in the event that the human intellect can solve a math problem in 5 minutes, AI can solve 10 problems in a minute.
|In terms of speed, humans cannot beat the speed of AI or machines.
|As machines are unable to reason abstractly or draw conclusions from the past. They can only acquire knowledge through information and frequent training, but they will never develop a human-specific thinking process.
|Learning from various events and prior experiences is the foundation of human intelligence.
|AI is profoundly objective in choice making because it analyzes based on absolutely accumulated data.
|Human choices may be affected by subjective components which are not based on figures alone.
|AI frequently produces precise comes about because its capacities are based on a set of modified rules.
|For human insights, there’s more often than not room for “human error” as certain subtle elements may be missed at one point or the other.
|The modern computer generally uses 2 watts of energy.
|On the other hand, human brains uses about 25 watts
|Modification of AI and Human
|AI takes much more time to adjust to unused changes.
|Human insights can be adaptable in reaction to the changes in their environment. This makes individuals able to memorize and ace different skills.
|AI can as it were perform fewer assignments at the same time as a framework can as it were learn duties one at a time.
|The human judgment skills underpin multitasking as proven by differing and concurrent roles.
|AI has not aced the capacity to choose up on related social and enthusiastic cues.
|On the other hand, as social creatures, people are much way better at social interaction since they can prepare theoretical data, have self-awareness, and are delicate to others’ feelings.
|It does optimization of the system. It cannot be creative or innovative as humans can only think and machines cannot.
|It is innovative or creative.
|Based on algorithms and mathematical models
|Based on cognitive processes and biological structures
|Based on data and feedback loops
|Based on experience, intuition, and creativity
|Can process data and perform tasks much faster than humans
|Slower than AI in processing large amounts of data, but can make complex decisions quickly
|Can quickly adapt to new data and situations
|Can adapt to new situations, learn from experience, and make decisions based on context
|Lacks emotions and empathy
|Capable of feeling emotions and empathy
|Limited ability to be creative or think outside of the box
|Capable of creativity, imagination, and innovation
|Does not have a moral code or conscience
|Has a moral code and conscience that guides decision-making
|Does not have physical limitations, can operate 24/7
|Limited by physical capabilities and requires rest and maintenance
Business Intelligence and Data Mining are two different approaches to analyzing data that are used for different purposes. BI is used for monitoring and improving business operations, while Data Mining is used for discovering patterns and relationships in data to predict future outcomes. Organizations should choose the approach that best suits their needs and goals.
Share your thoughts in the comments
Please Login to comment...