Debunking 10 AI Myths
Did you know that robots can have citizenship? In Saudi Arabia, they have given citizenship to the social humanoid robot, "Sophia." She is the first-ever to receive such recognition in the world. Moreover, she is a combination of scient, engineering, and artistry that depicts the future of AI and robotics.
Artificial Intelligence or AI simulates human intelligence in robots or machines, programmed to think human-like and impersonate their actions. The term is also associated with machines that exhibit the human mind through learning capabilities and problem-solving abilities.
Ideally, AI must have the ability to rationalize and take actions to achieve a specific goal. Included in its purposes are reasoning, perception, and learning. At present, there are weak and strong AI. Learn more about how it works and the myths around it.
How Does AI Works?
In essence, AI the branch of computer science that seeks to help Alan Turing in his exploration to simulate human intelligence in machines. The problem with the simple definition of AI is that it did not explain its nature and make a machine equipped with such technology.
In "Artificial Intelligence: A Modern Approach," a book authored by Stuart Russell and Peter Norvig, they defined AI as "the study of agents that receive percepts from the environment and perform actions." They explore four approached that historically defined AI:
- 1. To think human
- 2. To think rationally
- 3. To act human
- 4. To act rationally
Today, machines equipped with AI perform tasks that typically require human intelligence. Some AI systems are powered by machine learning, and some are by deep learning. In some cases, boring things like rules power them.
Debunking AI Myths
Up until today, there is much confusion around AI and how AI technologies function. It is about time to debunk the ten misconceptions about it.
Here are some of the cybersecurity challenges confronting healthcare delivery organizations:
1. AI function like the brain
This notion is still far from reality because some areas of AI remain extremely difficult to figure out, like language and judgment of relevance.
First, Google and Natural Language Processing lack overall understanding and have difficulties with grammar and content. In this case, only humans can do elegant writing style. As for the relevance judgment, AI cannot replicate how human brains function because of its complexity.
2. You can interchange AI and ML.
No, they are not interchangeable because machine learning is a subset of AI, concerned about a machine's ability to predict outcomes and giving recommendations without a programmer's instructions. Meanwhile, AI is about making technology function through features of human intelligence.
3. Cognitive AI can understand and solve problems like the human brain.
Yes, Cognitive AI is designed to mirror how the human brain functions. They can analyze messages and identify images. However, human intervention is needed. One example is the image recognition feature of Facebook that requires the user's approval and affirmation.
4. They can learn on their own.
Intelligent machines can understand how to perform tasks better, make more accurate predictions. However, they still need the help of human programmers, data administrators, and even users to give the required information for their learning and development.
Machines still cannot do problem-solving and planning on their own. Unless humans intervene, they will not figure out how to achieve goals.
5. AI will replace you.
AI will not take away your job because they are designed to work with humans for improved efficiency. In reality, AI will help you by carrying out monotonous and repetitive tasks as you concentrate on challenging tasks.
6. They are 100% objective.
Again, no, algorithms are as fair as those who created them. It will remain undisclosed until it is, used publicly. For example, Amazon's recruiting tool shows bias against women. See how controversial algorithms could be? Just imagine the people's reaction if they find this out.
7. AI is new.
AI was first foreseen in the 1840s by Lady Ada Lovelace when she said that a machine might produce elaborate and scientific pieces of music of any degree of complexity. A century after, Alan Turing set down the foundations of machine learning.
8. They are not creative.
Others think that AI has little to no creativity. Although they are not autonomous, they can be creative through the help of human understanding and intuition. In application, pharmaceuticals use ML learning to make predictions about the response to drug treatments of patients.
9. No matter how messy it is, AI algorithms can figure it.
AI needs human intervention to understand data. That is why there are data engineers to treat raw data first. Engineers collect data, clean it, and organize it before they feed them to machines.
10. All AIs are equal.
AIs are not equal. There exist three types of it: Artificial Narrow Intelligence (ANI), Artificial General Intelligence (AGI), and Artificial Super Intelligence (ASI).
ASI performs single tasks and can automate repetitive tasks. On the other hand, AGI is not yet existing. Theoretically, they should imitate human intelligence and behaviors. Lastly, ASI is a sophisticated program that exceeds human brainpower. Unfortunately, this is only seen in sci-fi movies.
Now that the truths about AI are revealed, you will not have to worry about AI taking away your job. Feel free to share these with your not-so-tech-savvy friends.