Artificial intelligence is a fascinating subject right now in technology and science. In many cases, it is a good reason to be excited as it has the potential to transform the way we live. Like anything new, some salesmen are looking to make a quick buck by promising to deliver promises that can’t be fulfilled. Others, however, are bent on spreading distrust and fear.
This is a run-through of some common myths and misconceptions about the subject. Mistruths are often presented during discussions about the subject, and there are also reasons why you shouldn’t buy into them.
Myth: AI Will Steal Everyone’s Jobs
The rise of automation and AI has the potential to disrupt the labor force. However, it is not as simple as it sounds. In many cases, this is a complex transfer of labor. Past industrial revolutions have led to significant changes in the employment landscape. However, the number of jobs has not changed significantly. Despite the various doom-mongering predictions about the potential of mass unemployment and the widespread redundancy of the workforce, there is still no evidence supporting this claim.
It is also possible that the rise of automation and artificial intelligence will lead to a more productive economy. This will allow people to spend more time working on their productive pursuits. Employers are widely using AI to improve the efficiency and effectiveness of their workforces by enabling them to work in new and more innovative ways.
Myth: AI, Machine Learning, and Deep Learning Are All the Same
Artificial intelligence is a broad class of techniques that allow computers to imitate human intelligence. Machine learning is one of the most common methods to achieve this, and these terms are often interchangeably used. However, this isn’t the only subfield of AI. It also includes other systems, such as natural language processing and computer vision.
Machine learning is a subset of artificial intelligence that allows computers to perform tasks without requiring specific programming. There are various ML algorithms, such as regression, tree-based, or support vector machines. Deep learning is becoming more popular in recent years.
Myth: AI Algorithms are Unbiased
The development of AI systems requires a lot of human expertise and data. In most cases, the decisions made are influenced by real-world events. Since humans are biased, it would be implausible that AI systems could avoid biases. Furthermore, they can be biased due to incomplete data.
Unfortunately, it is impossible to eliminate bias from artificial intelligence systems. However, a well-designed system can help minimize it.