What is the Ai – Artificial intelligence (AI) is the general term for the development of intelligent computers that require human intellect. Thanks to the successes of deep learning and machine learning, AI systems already rule the computer science subfield in practically all technological domains.
INTRODUCTION
The Covid-19 pandemic has brought about a tectonic shift in our workplace, and technology has been the driving force behind it. As the pandemic persists in numerous parts of the world, businesses are turning more and more to artificial intelligence (AI) and other forms of technology to adjust to the new normal. This research will examine how technology has impacted work, working practices, and workplace culture in the post-Covid-19 era.
Like all human inventions and creations, AI has flaws. Because of this, there is both desire for and fear of AI.numerous studies Examples of studies that focus on the potential advantages and disadvantages of AI include Acemoglu & Autor, 2015; Acemoglu & Restpero, 2017; Arntz et al., 2019; Brynjolfsson & Mitchell, 2017; Sachs & Kotlikoff, 2020; and Stanford study, 2018. We have all simultaneously experienced the huge shocks to our socioeconomic lives that COVID-19 has brought about. It initially aims to dispel common misconceptions and important worries regarding AI.
To put the sociological and economic impacts of AI into perspective, it also examines how AI and COVID-19 have an impact on human cultures and interactions. The description of AI is followed by a discussion of its key positive and negative impacts, a look at COVID-19’s disruptive effects, a final summary, and an example of AI in the post-pandemic era.
How Does the AI Work
Beyond broad generalisations like “machines that are intelligent,” AI lacks a definite definition. Understanding the meaning of the term “artificial intelligence” is essential to understanding how AI works.
This Ai tool has been broken into four parts:
- Thinking humanly
- Thinking rationally
- Acting humanly
- Acting rationally
The first two of these domains are concerned with thinking and reasoning, similar to learning and problem-solving in the human mind. These sections’ final two discuss acts and behaviours. These amorphous notions advance a framework for designing machines that incorporate machine learning applications and other areas of AI study.
While some types of artificial intelligence (AI) are powered by ongoing machine learning, others are propelled by more conventional ideas. Since various forms of AI operate in various ways, it is crucial to understand them to recognise how they differ from one another.
When Did AI Start?
Though AI has made many strides since its inception in 1950, the field is generally recognised as having entered its modern era when Alan Turing addressed the issue of whether machines can think in his paper “Computing Machinery and Intelligence.” This led to the creation of the Turing Test, which outlined the key goals of AI.
Who Invented AI?
It is commonly acknowledged that British mathematician and “Father of Computer Science” Alan Turing created the first concepts for the area of artificial intelligence, even though many others have made contributions to the field, building on one another’s discoveries and research.
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Advantages of AI
AI has several benefits including:
Low error rates compared to humans (assuming correct coding is performed)
AI is unaffected by hostile or violent environments, therefore these computers can engage in risky activities and work with things that could hurt or kill people. By doing tedious or repetitive tasks, AI is not easily bored. capable of anticipating users’ queries, searches, or text input, allowing them to act as personal assistants or assistants by suggesting tasks, as with cellphones or personal assistants. Alexa can detect fraud in card-based systems.
Using technology, such as robotic pets, to swiftly and efficiently organise and manage records may reduce loneliness. AI can make decisions that are rational and objective with fewer mistakes. capable of replicating medical procedures with an accuracy that is difficult for people, AI systems can work longer than humans because they don’t need breaks. Of course, there are some disadvantages to AI in addition to all of these benefits you have.
Disadvantages of AI
The disadvantages of AI include:
There is a need for construction, upkeep, and improvements. Some packages, and occasionally the idea of all humanoid robots, heighten moral concerns that need to be addressed. AI’s usefulness in comparison to humans, particularly its ability to feel other people’s emotions, is still up for debate. Absence of assumptions and comprehension Artificial intelligence replacing human workers may result in employment losses. The idea that artificial general intelligence (AGI) artificial intelligence could someday replace humans (although this still seems unlikely shortly) is the danger of humanity’s over-reliance on AI.
How Is Artificial Intelligence Used Today?
Today, AI is commonly used in a wide range of applications and experience levels. The chatbots that appear on websites or in the form of smart speakers (such as Alexa or Siri) are examples of popular AI applications. These algorithms offer suggestions for what you might do next. AI is utilised to generate forecasts for the weather and the economy, sped up production, and eliminated redundant cognitive work (like tax accounting or editing). AI is also used for a variety of other tasks, such as language comprehension, autonomous vehicle driving, and gameplay.
AI will have a very big impact on the following 7 industries:
- Financial
Tellers with ATMs did not immediately diminish the banks. They added more teller roles as a result of clients being drawn to banks by the convenience of cash machines. Banks expanded their network of locations and hired tellers to take care of the duties that ATMs were unable to do.
2. Tourism and hospitality
The humanoid robots in Tokyo’s newest café are yet another illustration of how robotics make life easier. Robot waiters serve customers at the Dawn Avatar Robot Café in Nihonbashi, Tokyo. Even if you might be concerned that people would no longer have jobs, the tale behind these robot servers is a touching one.
3. Robotic servers
Humans who are physically unable to work and who cannot work for an extended period, as well as single parents who need in-home childcare assistance, operate the AI. Before coming up with the concept for the remote-controlled robots, the business and CEO spent three years confined to a bed. These robots attempt to close the gap between disabled persons and society by providing them with new professional opportunities they can readily participate in at their own pace. They act as an avatar for the users’ personnel and are controlled remotely via the internet using hand and eye movements.
4. Health
Research on the possible uses of artificial intelligence in medicine is now quite active. The medical sector has access to a wealth of data for the development of healthcare-related prediction models. Artificial intelligence has excelled in several risky circumstances. The AI system for lung cancer, for instance, may identify the disease quite early.
An AI system for lung cancer.
5. Automobile
With the development of driverless vehicles and autonomous navigation, we can now observe how AI is influencing the automobile industry. AI will significantly affect output, particularly in the auto sector.
The automotive industry uses AI.
6. Online safety
Given the anticipated rise in cyberattacks in 2020 and 2021, a lot of business executives are worried about cybersecurity. During the epidemic, hackers preyed on those who worked from home and took advantage of Wi-Fi networks and less secure devices. The use of AI and machine learning in cybersecurity will be essential for detecting and anticipating threats. AI will be a key tool in financial security because of its capacity to analyse massive amounts of data, forecast trends, and identify fraud.
cybersecurity using AI.
7. Job hunting
The job search process may be significantly impacted by artificial intelligence (AI). An automated applicant monitoring system can reject up to 75% of resumes before a human evaluates them.
Previously, finding quality applicants required a significant amount of time for recruiters to sift through resumes. According to data from LinkedIn, recruiters may invest up to 23 hours reviewing candidates for a single successful position. On the other hand, AI-powered systems are being used to scan resumes. 67 per cent of hiring managers in 2018 said that AI had made their work easier.
Employers like HireVue may utilise artificial intelligence (AI) to process your application. Therefore, there is no reason why you shouldn’t make use of related technology like Jobscan, Jobseeker, and Rezi. AI and machine learning are often mentioned in rankings of the top job market talents. It is predicted that jobs needing knowledge of AI or machine learning will increase by 71%.
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Conclusions
Because of the intelligence they are based on and their perceived superiority in computation and measurement skills, autonomous machines are increasingly being seen as automated tools and decision-makers. While many recent writings on AI make an effort to address the issues of “what can be done” and “how can AI be implemented ethically,” the reality is much worse. The change to relying on machine calculation for intelligent decision-making at work complicates any discussion of “ethics” in AI implementation and use. In his article “An Essay Concerning Human Understanding,” John Locke defined ethics as “the seeking out [of] those Rules, and Measures of Humaneness.”