The Myths and Reality of AI and ML
Artificial intelligence and Machine Learning are technologies being developed as part of technological evolution. Unfortunately, while data scientists and engineers are working on creating AI systems to make life easier, Hollywood and popular media is creating myths around the technology under the name of science fiction.
This trend has even made its way to the Indian audience, and myths around artificial intelligence cloud people’s brains. However, before getting into the myths and the reality of these technologies, one must first understand the difference between AI and ML.
Machine Learning Vs. Artificial Intelligence
The biggest myth around artificial intelligence is that it is the same as machine learning. Unfortunately, many people still believe there is no difference between the two and that the two terms are interchangeable.
AI is a huge umbrella term covering many new computer engineering technologies. For example, technologies like machine learning, deep learning, blockchain, etc., are all covered under artificial intelligence.
So anyone who wants to start a career in artificial intelligence should enroll in a good AI and ML course in Hyderabad.
Myths vs. the reality in AI And ML
As an AI enthusiast, you must understand the reality of the technology and learn about the myths. So let’s look at some of the most popular myths in artificial intelligence.
1.AI systems are far less explainable than non-AI
Transparency has become a top priority for many technology users, who think that artificial intelligence cannot be trusted because it is less transparent than technology that uses human intelligence.
This is a myth and engineers who create these systems have made them with suitable algorithms that provide the necessary outputs. So with the improved transparency, more people have access to insights into the working of these AI systems, and they can put their trust in the new technology.
2. Soon AI will surpass Human Intelligence
Human intelligence combines various capabilities and information the human brain grasps daily. While this means that some humans are more intelligent than others, there is also a lack of specialised intelligence among humans.
AI provides us with specialised intelligence but is incapable of functioning like humans because of the systems' lack of general intelligence. Additionally, AI systems are not programmed to gain intelligence in other subjects, only the ones the algorithm asks them to.
3. AI will put people out of jobs
Along similar lines to people thinking that artificial intelligence will surpass human intelligence, they also believe that then it will be able to replace human jobs. People in the retail industry are apprehensive about being replaced by robots.
While there is no denying that artificial intelligence can execute most menial tasks more efficiently in less time, it cannot take over jobs that rely on human intelligence and creativity. You could also compare this era to the industrial revolution period, where machines were thought to put an end to all jobs but ended up creating just as many opportunities.
4. Only large businesses need AI
Small businesses already on a budget often refrain from indulging in new technologies that might increase costs. Some even think that a technology like artificial intelligence cannot help problems their businesses might be facing.
Doing this, many businesses are missing out on real opportunities that can help them boost their business and take it into the big league.
5. AI algorithms can process any Data
The input data plays a vital role in your AI software output. Unfortunately, people assume you can put in any unsorted data in AI and get perfect results.
In reality, you need to give accurate information to the system to give you the right solutions to your problems.
6. There will be a rise in the robots
Another way popular media has engrained a false image of artificial intelligence in our brains is by representing them using robots. When we hear AI is gaining popularity, our brain produces a picture of a humanoid.
While robots can be programmed to work using artificial intelligence, not all AI systems need to be robots. So the idea that the rise of AI means the rise of robots is a huge misconception.
7. AI is bias-free
Usually, when AI products are created and pitched, they are introduced as solutions toward human biases. In fields such as customer support and human resources, biases can affect how users or employees feel about the services.
But the incorporation of artificial intelligence is said to eliminate those human biases as AI as a machine carries no preconceived notions about ideas or people. While that seems logical, an AI is only as good as the training it has received. So if it is programmed with certain biases in mind, it will implement them in the solutions.
8.AI will cure all diseases
It is a misconception that AI will be able to treat every illness. AI has the potential to advance medical research and healthcare significantly, but it cannot cure all diseases.
Developing effective treatments and cures for diseases requires a complex approach involving cutting-edge technology, significant clinical research, and human expertise. Although AI can help in several areas of medical research and patient care, including medication discovery, diagnosis, and care for patients, it is unlikely that it will eradicate diseases.
Examples of AI
AI is used in various fields to increase productivity, accuracy, and efficiency. Here are some real-life examples of artificial intelligence:
- Personal assistants like Siri and Alexa use natural language processing (NLP) to understand and respond to voice commands.
- Social media platforms and e-commerce websites use machine learning algorithms to tailor suggestions based on user interests.
- Healthcare applications that use AI to analyze medical images, diagnose diseases, and assist in surgical procedures.
- Self-driving vehicles that can recognize and react to their surroundings using computer vision and sensors.
- Fraud detection systems that use AI to identify and prevent fraud in banking and finance.
Conclusion
Artificial intelligence has great potential to revolutionise many aspects of our lives, from healthcare to business. However, it is essential to differentiate between reality and myths surrounding these technologies. Unfortunately, popular media frequently perpetuates myths around AI and ML, but if you plan on starting a career in AI, you need to learn the difference between myths and reality.
