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Humans have been developing tools and technologies to help us achieve our goals since the beginning of time. Huge technological breakthroughs have resulted in large adjustments in social structures, as well as how people contribute to society and make a livelihood. Today’s technological advancements are fast allowing much of the labour that is now done by people to be automated. This applies to both blue-collar and white-collar employment, thanks to robotics and the Internet of Things, as well as artificial intelligence. The widespread application of these technologies has sparked widespread worry about job loss. Although technology has almost always made certain occupations obsolete, it has also created new ones. Technology is a collection of tools that are employed in a variety of ways to boost productivity. Some occupations were lost as a result of the Industrial Revolution, but many more were created. It also enhanced society’s overall wealth and began to develop a middle class that could benefit from health, education, and other services previously solely available to the wealthy. It can be difficult to forecast what kind of employment will be created and in what quantities as a result of this new revolution, making the situation appear worse than it is.

This illustration may appear unduly hopeful to some. The new positions need an entirely different skill set – an assembly line worker cannot be transformed into a data scientist overnight, if at all. Despite the fact that the Industrial Revolution lasted several decades, it resulted in immense social upheaval, discontent, and severe hardship for many people. The digital revolution might unfold far more quickly, affecting enormous swaths of a complex, interconnected economy with strong feedback loops. Artificial intelligence (AI) will play a bigger role in how we live, work, and play in the future. However, we are still a long way from a day when computers will completely replace the global workforce, particularly invocations that need parts of the human brain (perception, social intelligence, and creativity). As technology’s breadth and capabilities develop, those that embrace and leverage AI to incorporate efficiency into routine operations while infusing human talents and knowledge into the system are likely to gain the most. Rather than taking an all-or-nothing strategy to boost abilities, embrace the human-in-the-loop method and benefit from the one-two punch of artificial and human intellect while planning for the future.

Whilst, AI still falls short – Surgery is best left in the hands of skilled surgeons, the fine motor skills and capacity to recognise and appraise each scenario are considerably superior to that of any machine. Similarly, AI cannot replace the amount of social intelligence required for HR professionals to connect with candidates and workers and develop healthy relationships. Finally, robots will never be able to match an attorney’s inventiveness or intelligence when it comes to drafting, negotiating, or enforcing complicated contracts. Humans in the loop aids workflow which further combines artificial and human intelligence to complement people and generate a better result than either could separately. To obtain the desired outcome, a person working alongside a machine or computer enters data into the system. Humans train, tune, and test algorithms that get smarter and more accurate over time, and this process form a continuous cycle. Complex AI systems have emerged into tools that are more powerful and efficient than what could be accomplished with purely automated or totally manual systems alone by adding human judgement and preference into the loop.

In order to address the issue of whether AI systems will be able to replace humans, one must first recognise that human psychology and an AI system are fundamentally different.

While both work with cognitive processes including problem-solving, memorization, planning, reasoning, and perception gathering, the human mind is significantly more competent in these simple activities. The human brain is capable of incorporating emotional intelligence, self-awareness, and human experience into various activities, giving each one a distinct flavour. On the other hand, the AI system is currently too immature to learn on its own. Humans must still teach it with data sets in order for it to accomplish various jobs. At the end of the day, artificial intelligence is a creation of the human intellect. Because of human inventiveness, total automation of certain activities is now conceivable. Even while the topic of whether or not humanity will be replaced by AI remains unanswered, we may be comfortable that, for the time being, AI is nowhere near to reaching the level of technological maturity required to take over the human race.

Conclusion:

The subject of AI replacing humans in many areas may never have a definitive solution. Predictions and observations are all we have. Before the negative impacts of AI technology grow too great, it needs ongoing supervision and inspection. AI takeover will be restricted to the exciting tales of dystopian movies and fictitious worlds if adequate rules are in place to protect users. It’s never too early to start thinking about the future. People must challenge themselves to comprehend the data and automation technologies on the horizon now in order to be prepared for tomorrow’s advancements in automation. However, capturing value from automation needs more than just data and technological know-how. The biggest obstacles will be the personnel and organisational adjustments that leaders must implement when automation upends whole business processes, as well as the culture of businesses, which must come to see automation as a dependable productivity lever. Senior executives, on the other hand, will have to “let go” in ways that go against a century of organisational growth.

What do we understand from Artificial Intelligence? Artificial intelligence, in its most basic form, is a subject that combines computer science with large datasets to solve problems. It also includes the sub-fields of machine learning and deep learning, both of which are usually referenced when discussing artificial intelligence. AI algorithms are used in these industries to develop expert systems that make predictions or classifications based on input data. Governments have been making progress in adopting AI as an important element of their defence systems in order to gain a military advantage over their competitors and to satisfy the proverbial unquenchable need for power. 

The strength of a country’s army is one of the factors that defines its power. In some of the most developed countries, investment in this area is the highest when compared to other sectors. A large chunk of this money will go into rigorous research and development in contemporary technologies, such as artificial intelligence (AI) in military applications. Large volumes of data can be efficiently handled by AI-enabled tactical equipment. Furthermore, such technologies have increased self-regulation, self-control, and self-actuation as a result of their greater computing and decision-making abilities. Advances in artificial intelligence have opened up new possibilities in defence technology. In addition to increasing the effectiveness of armed personnel, the potential for conducting a war may be boosted by incorporating Artificial Intelligence into military operations. Several countries throughout the world are using AI to improve the performance of their defence forces. 

Applications:

  • Surveillance:

AI is used with geospatial analysis to help extract relevant data from connected devices like as radars and automated tactical systems. The information might be used to investigate and uncover any illegal or questionable activity. Military drones have become increasingly popular in recent years. Drone technology has come a long way since its origins. These remote-controlled vehicles can be used for a range of purposes, such as terrain mapping and unmanned aerial vehicle flight.                                                               

  • Cyber-Security:

With so many military sites becoming digitised, it’s more important than ever to keep the information contained on these web portals safe. A maliciously hacked network might put the entire region’s security at jeopardy. Defence organisations are employing machine learning to predict and guard against illegal breaches. Intrusion detection is often achieved by classifying the network as either normal or intrusive. Artificial intelligence (AI)-based approaches can improve the accuracy of such categorisation and provide protection alternatives in response to malware, phishing, and brute force assaults on data centres and government websites.

  • Logistics:

One of the most important factors in determining whether or not a military operation succeeds is logistics. Military logistic systems are combined with machine learning and geospatial analysis to save labour, costs, and inaccuracy.

  • Weaponry:

AI in defence is being used to build targeted missiles, sophisticated armaments, and high-performance fighter jets. Advanced missiles, for example, can estimate and assess target levels for kill zones without the involvement of humans. These applications, which need extensive study, have the potential to change the face of defence in the not-too-distant future.

In addition to its various applications and benefits, the employment of AI in defence poses an ethical quandary as well. Unintentionally, experts and organisations all around the globe have elevated such technologies, creating tensions between countries. One concern is that if an AI system fails to function as intended, it might have disastrous consequences. Several human and civil rights organisations have called for an outright prohibition on autonomous devices in defence, particularly armament.