artificial intelligence

AI or artificial intelligence is one of the most in-demand areas for job seekers nowadays. However, AI is probably the most debatable and conversational technology too. And it revolves around some myths about the human future. Though artificial intelligence has several advantages, these myths have undoubtedly depicted the questionable future of human society if artificial intelligence can take over all human work and similar intelligence in the future. But are all the machine-related intelligence belongs to the same complexity? Or are they really achievable?

We can see some AI examples based on its types and analyze how it can replicate human jobs.

In this context, we can differentiate AI into three categories –

 Weak AI / Narrow AI â€“ Weak AI works to reduce human effort. However, there is no intelligence associated with its functionality. For example, a speedometer measures the speed of a vehicle. This is something that eliminates the human effort of measuring the job. However, there is no intelligence in this activity. Moreover, it does not recommend the optimum speed based on road conditions, etc.

Thus, we can say weak AI relates to and is based on pure coding that directs some jobs. Additionally, we don’t directly inject real intelligence into it. Furthermore, or doesn’t have any cognitive approach. They are suitable for routine tasks. To explain more, Computer vision, natural language processing, speech, and image recognition are still at the current stage of narrow AI.

Strong AI /Human-level AI– Strong AI associates with machine jobs that are part of cognitive approach or thinking capability. Using strong AI, a machine can logically take actions based on an understanding on its own. Chatbots are an excellent example of it. Some chatbots have the capability to accept only positive information and reject negative questions. Microsoft TAY is one example of it. However, achieving strong AI in the real sense is still hard to achieve.

Super AI relates to human-level consciousness. Though this is still at the hypothesis level, researches are on. Furthermore, the biggest myth that comes around it is that super AI will destroy humanity. Whether that is true or not is still a question, but it is a matter of time to answer the question.

To explain more, if we consider artificial intelligence applications, then Weak AI performs small level tasks with the help of Machine learning, Natural language processing, etc. Also, we need to train them with massive data sets. On the other hand, Strong AI comes with a higher level of intelligence that is almost nearly human intelligence with emotional intelligence and other features. If we look into the common myths of AI, they associate with these two types of AI.

Related post – 5 Types of Artificial intelligence – unveiled

What will AI mean for the future of work? 

#Artificial intelligence technology is about Machines to augment human effort

Probably the first concern that comes to mind when considering the negative side of AI intelligence. In fact, AI implementation targets a higher level of automation, which ultimately provides cost-effectiveness. Besides, it helps in reducing the human burden. This automation capability is indeed responsible for laying off a certain percentage of employees related to Weak AI-related activities like some repetitive jobs.

  But not all such tasks can be replaced by machines or AI-driven robots because many tasks need human interactions and human sentience, which AI can’t perform at this level. Most importantly, the power of artificial intelligence development is augmenting human factors. This will increase the volume and quality and decrease the future cost, which is an important business process.

To explain further, it is more of changing the professional aims rather than replacement by machines. Implementing Artificial intelligence indeed means the transition from repetitive to cognitive tasks. Artificial intelligence’s future will, no doubt, change the profession. It will enforce more inclined to learn new technologies related to AI.

#AI Is being adopted by all businesses, not just in the world of tech

AI is not only limited to the tech world. In fact, 90% of leading businesses already have ongoing investments in AI technologies. More than half of businesses that have implemented some manner of AI-driven technology report experiencing greater productivity. Some of the domains that are getting highly dependent on AI are as follows:

Medical:

The medical world has already explored the power of AI. It is full of data, and this data is widely used to build predictive models. Besides, we see huge usage of robots in surgery and diagnosis. Even AI has shown to be more effective than physicians in certain diagnostic contexts.

Since last year, the healthcare industry has been overwhelmed fighting the COVID-19 pandemic worldwide. The question is, where does AI jump in? As most of the hospital staff and the doctors are busy treating COVID patients, there is a huge need to automate certain tasks such as triage, diagnosing, evaluating medical records, etc. This automation is done using AI (Artificial Intelligence). It not just ease the entire work environment of the hospital but will also help reduce the chance of human error. In the coming years, we will witness the huge acceptance of AI in hospitals.

Cybersecurity

Cybersecurity is crucial, considering the amount and importance of data being processed as well as stored online. As much as the technology is progressing, the hackers are also becoming more and more active & progressing. As per the study, the number of hackings is going to increase over the years. With the help of AI (Artificial Intelligence), the algorithms can be developed using which the user can learn different ways to decipher the pattern of behavior. This algorithm can help detect suspicious behavior and prevent hacking.

Automative

AI is impacting the world of automobiles and transportation with the help of autonomous vehicles and autonomous navigation.

AI (Artificial Intelligence) and IT (Information Technology)

IT industry has constantly been evolving and embracing AI (Artificial Intelligence). In the year 2021, this trend is expected to grow even more. It is expected that AI will help automate different functions in the industry, even more than it is already. With the help of AI, IT companies are reducing the downtime of their functions significantly.

AI and Marketing Technology

“Martech” this word comprises two terms – marketing and technology. It is not wrong to say that marketing is the organization’s data center as it involves the collection, organization, and translation of the data collected from the customers and clients, which later is used for deductions to help in marketing. Thanks to AI, this process is being automated. In the coming years, we will be witnessing more development on that front.

#AI has a big impact on job search

AI has already taken a big leap in the hiring process. It is so much so that up to 75% of resumes are rejected by an automated applicant tracking system or ATS before they even reach a human being. Previously, recruiters put manual effort into shortlisting candidates by seeing the resumes. However, resume scanning is done by an automated system. 67% of hiring managers stated that AI was making their jobs easier.

Final verdict

AI intelligence is not magic, and it has certain limitations. Anything that becomes hype associates itself with misconceptions and myths. The same applies to artificial intelligence. However, if we stay alert to the truths, it perpetuates the distorted picture of the technology. We must remember that AI is not going to take over the world, neither the limitations will not be overcome with time. Finally, we must consider AI from a less fictional and more scientific point of view.

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