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Artificial Intelligence

AI Technology Causes Mass Job Losses in the US within a Month

Artificial intelligence (AI) has undoubtedly revolutionized various industries, bringing unprecedented advancements and efficiency. However, recent reports have raised concerns about the impact of AI on the job market, particularly in the United States.

  1. The Rise of AI in the Workforce
    AI technology has rapidly evolved over the years, becoming more sophisticated and capable of performing complex tasks. Its ability to automate repetitive or mundane jobs has made it increasingly attractive to businesses across different industries. AI algorithms can analyze vast amounts of data, make data-driven decisions, and perform tasks with speed and accuracy. As a result, companies have embraced AI solutions to streamline operations, reduce costs, and enhance productivity.
  2. The Impact on Job Market Dynamics
    The integration of AI technology into the workforce has undoubtedly brought about significant changes. While it has created new opportunities and job roles in areas such as data science, machine learning, and AI development, it has also led to the displacement of certain job positions. Tasks that can be automated or performed more efficiently by AI systems are gradually being replaced, leading to job losses in some sectors.
  3. The Nature of Job Displacement
    It is important to note that the impact of AI on the job market is not uniform across all industries. Certain sectors, such as manufacturing and customer service, are more susceptible to job displacement due to AI automation. Repetitive assembly line work, data entry, and customer support roles are increasingly being handled by AI-powered systems. This shift can result in significant job losses within a short span.
  4. Challenges and Opportunities
    While the increasing use of AI technology raises concerns about job security, it also presents new opportunities. As repetitive tasks become automated, individuals can focus on more creative and high-value work. Upskilling and reskilling programs can help workers adapt to the changing job market and equip them with the skills required for emerging roles. Governments, educational institutions, and businesses must collaborate to create effective training programs to ensure a smooth transition for affected workers.
  5. The Need for Ethical AI Adoption
    To address the challenges posed by AI technology, it is crucial to prioritize ethical considerations. AI algorithms should be designed with transparency, accountability, and fairness in mind. Stricter regulations and guidelines can ensure that AI systems are not employed solely for cost-cutting measures but also for improving overall societal well-being. Responsible AI adoption can help minimize negative impacts on the job market while maximizing the benefits offered by this transformative technology.
  6. Collaborative Human-AI Workforce
    Rather than viewing AI as a replacement for humans, it is more productive to consider it as a collaborative tool. The symbiotic relationship between humans and AI can lead to enhanced productivity and innovation. AI can handle data analysis and routine tasks, while humans can contribute their expertise, creativity, and critical thinking skills to more complex problem-solving and decision-making processes. This collaboration can create a more efficient and dynamic workforce.
  7. Job Creation through AI
    While AI technology may lead to job displacement in some areas, it can also drive job creation in others. As AI adoption expands, new job roles will emerge to support the development, maintenance, and ethical implementation of AI systems. AI engineers, data scientists, AI trainers, and AI ethicists are among the roles that are expected to grow in demand. Additionally, new industries and opportunities may arise as AI continues to evolve, leading to the creation of jobs that are yet to be envisioned.
  8. Addressing Inequality and Ensuring Inclusivity
    The impact of AI on the job market can exacerbate existing socioeconomic inequalities if left unchecked. It is essential to ensure that the benefits of AI adoption are accessible to all segments of society. Efforts should be made to bridge the digital divide, provide equal access to education and training, and promote diversity and inclusivity in AI development. By fostering a more equitable AI ecosystem, we can strive for a future where the benefits of AI are shared by all.
  9. Ethical Considerations in AI Workforce Transitions
    As the job market undergoes transformations due to AI integration, ethical considerations must guide the transition. Employers should prioritize responsible practices, including retraining and upskilling programs for employees whose jobs are at risk. Governments can play a pivotal role by formulating policies that protect workers, ensure fair labor practices, and encourage the responsible adoption of AI technology. Ethical considerations should be at the forefront to ensure a just and sustainable transition.
  10. Public Perception and Education
    The panic and fear surrounding AI-driven job losses can be partially attributed to the lack of awareness and understanding of AI technology among the general public. Efforts to educate the public about the potential benefits and challenges of AI are crucial. Transparent communication about AI’s capabilities and limitations can help dispel misconceptions and foster informed discussions. By fostering a well-informed public, we can collectively shape policies and practices that harness the potential of AI while mitigating its negative consequences.
  11. Collaborative Research and Development
    Continued investment in research and development is essential for harnessing the potential of AI technology while addressing its societal impact. Governments, academic institutions, and industry leaders should collaborate to advance AI research, explore its ethical implications, and develop frameworks for responsible AI adoption. Multidisciplinary approaches that involve experts from various fields can contribute to comprehensive and holistic solutions.
  12. The Future of Work in the AI Era
    The integration of AI technology into the workforce is an ongoing process with far-reaching implications. While it is crucial to acknowledge the challenges and concerns, it is equally important to embrace the opportunities that AI presents. The future of work in the AI era will require adaptability, continuous learning, and collaboration between humans and AI systems. By leveraging AI’s potential responsibly, we can shape a future where humans and machines coexist and thrive.
  13. Conclusion
    The panic surrounding AI technology axing thousands of jobs in the United States within a month calls for a comprehensive understanding of the evolving job market dynamics. While certain job roles may be at risk due to AI automation, new opportunities and industries can emerge as AI continues to advance. It is crucial to prioritize ethical AI adoption, provide support and training for affected workers, and foster a collaborative human-AI workforce. By embracing the transformative potential of AI responsibly, we can navigate the future of work in the AI era with confidence.
    FAQs
    Q1. Is AI technology really causing panic by axing thousands of US jobs in a month?
    AI technology is indeed impacting the job market, leading to some job displacements. However, it is essential to consider the broader context and acknowledge that AI also creates new opportunities and job roles. The impact of AI on jobs is not uniform across all industries.
    Q2. What industries are most affected by AI job displacement?
    Industries such as manufacturing and customer service are more susceptible to job displacement due to AI automation. Repetitive tasks that can be automated are often the ones most affected.
    Q3. How can workers adapt to the changing job market driven by AI?
    Workers can adapt to the changing job market by upskilling and reskilling themselves. Investing in education and training programs that equip individuals with the skills required for emerging roles is crucial.
    Q4. How can AI and humans collaborate in the workforce?
    AI and humans can collaborate by leveraging their respective strengths. AI can handle routine tasks and data analysis, while humans can contribute their expertise, creativity, and critical thinking skills to more complex problem-solving and decision-making processes.
    Q5. How can we ensure fairness and inclusivity in the AI workforce?
    To ensure fairness and inclusivity in the AI workforce, efforts should be made to bridge the digital divide, provide equal access to education and training, and promote diversity in AI development. Ethical considerations and responsible practices should guide the transition to mitigate inequality.
Artificial Intelligence

How iPhone Implements AI in its Devices?

Artificial intelligence and machine learning are taking over the world in a storm and many companies are investing heavily in it. Companies like Google, Apple, Microsoft, and others are including AI in their devices be it laptops, mobile phones, or other. This integration helps companies to understand their users’ needs and provide them with an easy and interactive experience of interacting with their devices.

An IP address is a unique numerical label assigned to each device connected to a computer network. It serves as an identifier for devices, allowing them to communicate with each other over the internet. Think of it as a digital address that helps data packets find their way from one device to another.

How iPhone Implements AI

Over the years, AI has matured a lot, and so has its use case. Today it is used in almost every industry in some way or another. This provides companies with the ability to provide customers with the right information and help them serve their needs.

Let’s see how Apple is using AI in its devices and providing its customers with world-class experience:

Facial recognition:

Within Photos, facial recognition places a crucial role. It can create memories based on a person or group of people in correlation with a group of dates or a single date at specific intervals. So, AI is used to simple surface a notification on your phone screen to tell you that the phone has created a special birthday video for your child, year after year.

Health Monitoring:

There is a lot that you can monitor via your iPhone with the help of AI. Your phone provides you with features like period tracking, mindfulness, breathing, walking steadiness, running, sleep tracking, and more. These features help you to lead a better lifestyle and have a healthy body.

For example: if you enable the period tracking feature, initially it will ask you to log your period date along with symptoms you are going through. Further, on the basis of this data, it will provide you with a notification as to when your next period is going to come.

What all this monitoring does is, over time, it can give you a bigger picture of your health, as well as alert you to oncoming abnormalities with predictive analysis.

Native Sleep Tracking:

This feature is available in Apple Watch which provides its users with a holistic approach to sleep. It tracks micro-movements using an accelerometer to capture when you sleep and how much sleep you get at night. This provides you with a visual representation of the time you are awake and sleep, and also view your sleep patterns weekly.

The same feature is also available in the iPhone; it too accurately helps you to measure your sleep. Here’s how it works: sleep tracking feature, at your defined time it will turn on Wind down, i.e turning on your alarm and blurring out your notifications. All the notifications will hide until your wake up time and provide you with enough time to prepare for bed. Moreover, it will even track your sleep and provide you with data as to how many hours you sleep every day, which you can use further to define your night routine.

This monitoring ensures that your alarm wakes you gently when you are out of your deep sleep stage, instead of harshly disturbing your rest. This leads to better waking upstate, which positively affects your mood and how your day goes.

App Library Suggestions:

The App library layout in iOS is useful to find a folder that uses on-device intelligence and displays suggestions of applications. This helps small AI-powered features and is useful when you use certain applications more often.

Translate App:

The Translate app makes it easy to translate words and phrases in 11 languages on your iPhone. You can get definitions for translated words, have conversations in different languages, save translations for quick access, download language for offline use, detect language spoken, have conversations in real-time, etc. All thanks to the integration of AI in the iPhone and allowing users to use it in the best possible way.

Sound Recognition:

The sound recognition feature can be extremely useful for people who have hearing disabilities. You can set your iPhone to listen to different sounds like a crying baby, barking dog, siren, doorbell, smoke detector alarm, etc. Your iPhone can detect them accurately and the user can see an alert on their phone even when they can’t hear one. This can enable them to take their own agency.

Conclusion:

Apple is the leader in the tech industry when it comes to innovation, integrating and implementing the latest technology in their devices. Today more than ever, there are millions of iPhone users who are making the best use of it and relying on the power of AI to get things done. Be it monitoring their health, translating from one language to another, sleep tracking, Siri shortcuts, etc.

If you are planning to build an iOS app that serves your business operations and provides your users with the best experience. Hire dedicated iOS app developers from Biztech, as you plan to start on this journey of iOS app development. We have experienced developers who can help you at each stage of your app development and provide you with a complete understanding of your project.

Summary:

Read to know how Apple is using AI in their devices and how that makes for features that improve one’s quality of life.

 

 

Author Bio:

Maulik Shah is the CEO of BiztechCS, an ios app developer from India. Maulik likes to explore beyond his comfort zone. When it comes to writing for the blog, his contribution is priceless. No one else on the team can bring the deep industry knowledge to articles that he has. However, his door is always open and he is generous with sharing that knowledge.

Artificial Intelligence

Artificial intelligence, human brain and corona virus

The last 48 hours of 2019 were a critical moment in which the scope of the new virus was understood.

On December 30, the doctor at Wuhan Central Hospital Li Wenliang warned his friends about the virus on a social network, an attitude for which he was interrogated for

Did artificial intelligence knockdown the human brain by predicting a severe outbreak of coronavirus in China ?

But while humans perhaps did not do it with the same speed, they compensated for this with certain attitudes.

Early detection of an outbreak can help save lives.

At the end of 2019, a Boston artificial intelligence (AI) system issued the first global alert about an outbreak of a virus in China.

But it was human intelligence that realized the magnitude of the outbreak and sought answers from the medical community.

What’s more, mere mortals issued a similar alert just half an hour later than AI systems.

For now, AI disease alert systems seem more like car alarms: They make a noise about anything and are sometimes ignored.

A network of medical experts and detectives must analyze more material to get an accurate idea of what happened.

It is hard to say what impact the AI systems of the future can have, fueled by increasingly large databases, in terms of disease outbreaks.

The first public alert outside China about the novel coronavirus arrived on December 30, from the automated HealthMap system at Boston Children’s Hospital.

At 11.12 p.m., HealthMa issued an alert about unidentified pneumonia in the Chinese city of Wuhan .

The system, which analyzes online news and social media reports, gave its alert a category of three on a scale of five.

It took HealthMap researchers several days to realize the severity of the outbreak.

Four hours before the HealthMap alert, the New York epidemiologist Marjorie Pollack had started working on her own alert, motivated by a personal email she had received shortly before.

“This is being distributed through the internet here,” wrote his contact, who reprinted a post on a Pincong internet forum.

The post spoke of a warning from the body that manages health in Wuhan and said: Unexplained pneumonia?

Pollack, who is deputy director of the Program for the Monitoring of New Diseases, run by volunteers and is known as ProMed, promptly mobilized a team to analyze the matter.

A more detailed ProMed report circulated about 30 minutes after the brief HealthMap alert.

Emergency detection systems that analyze social networks, news on the internet and government reports for signs of infectious disease outbreaks help inform international agencies such as the World Health Organization

, allowing experts take the bull by the antlers early without tripping over bureaucratic and language obstacles.

Some systems, including ProMed, take advantage of the human experience.

And more than competing with each other, they often complement each other, as is the case with HealthMap and ProMed.

Li, who died on February 7 following the virus, told The New York Times that it would have been better if the authorities offered information about the epidemic before.

“They should be more open and transparent,” he said.

The effectiveness of the algorithms depends on the information they collect, said Nita Madhav, CEO of the San Francisco Metabiota disease monitoring company.

Madhav said that inconsistencies in the way each agency distributes medical information can affect algorithms and that to avoid confusion there is almost always a human being involved in the

Scientists are using databases to determine possible disease transmission routes.

The last 48 hours of 2019 were a critical moment in which the scope of the new virus was understood.

On December 30, the doctor at Wuhan Central Hospital Li Wenliang warned his friends about the virus on a social network, an attitude for which he was interrogated for

In early January, Isaac Bogoch, an infectious disease doctor and researcher at Toronto General Hospital, analyzed commercial flight information with Kamran Khan, founder of BlueDot, to see which cities outside

But by then 5 million people had escaped from the city, the mayor admitted.

“We showed that the most common destinations were Thailand, Japan and Hong Kong,” Bogoch said.

“It turns out that a few days later we started seeing cases in those places.”

Artificial Intelligence

Artificial Intelligence and process automation in 2020 – Predictions

The development of artificial intelligence (AI) and robotic process automation (RPA) increased rapidly in 2019. This speed will increase further this year.

Envisaged with the potential of streamlining technologies’ workflows and improving customer service, organizations will deploy an increasing number of AI and RPAs. At the same time, the capabilities of these technologies will continue to grow rapidly, and they will increasingly work in areas requiring human intervention.

During 2020, five key trends will shape the AI ​​and RPA area:

Rise of the RPA robot

Existing projects involving the deployment of RPA robots tend to focus on copying existing tasks traditionally completed by humans.

The robots learned a repetitive task and completed it more quickly. While their AI capabilities allowed them to read and understand certain documents, the robots were only able to do this in a very strict, rules-based way.

RPA robots will increase capabilities in 2020

RPA will be more adept at making decisions based on the documents they scan and data from other sources. Using rapidly developing machine learning and artificial intelligence algorithms, robots will be able to work independently and add value to the organization in which they are deployed. It can also be used in more complex processes, including less repetitive and more open to interpretation.

For example, the RPA robot can evaluate each e-mail and determine how to respond or where it should be forwarded within the organization.

Analytics projects will continue to fail

Many applications and IT tools offer far more features and functionality than are used in an organization. This wasted capacity is called the “consumption gap..

Experience has shown that 75 to 90 percent of analysis projects have failed, often because the power of deployed technologies is far greater than the ability of users to benefit from them.

To overcome this, businesses need to invest in labor data literacy. Throughout 2020, they will have to think much more when designing and deploying new systems and make sure that the people who use them meet their needs and capabilities.

Routine studies will continue to disappear

The number of RPA robots and artificial intelligence chatbots will continue to grow within organizations throughout 2020. As a result, more than 50 percent of those currently considered routine and repeated work will disappear.

The continuous development of the artificial intelligence that powers these bots will increase their capabilities and make it easier for users to provide a satisfying experience. 

Increasing importance of data governance

More organizations will be aware of the importance of their data and the impact that can be felt if it is lost or mismanaged. Therefore, the responsibility of data management will be taken from the analytical team and handed over to senior managers.

Since more data is used by artificial intelligence tools and RPA robots, the management of master and metadata will become even greater concerns. Failure to protect this data at all times will have significant implications for an organization as a whole.

Data will become an additional revenue stream

By 2020, more organizations will understand the value of their data. Exactly how data can be presented effectively and the mechanisms to make money from this process will be an area that needs further consideration. 

An example is a retailer who has detailed knowledge of customer buying habits. In turn, this data can be used to plan and to advance future product ranges.

Amidst these trends, the adoption of AI and RPA robots will increase rapidly throughout 2020. As organizations understand the benefits that can be achieved, sound business situations for investment will be created.

Artificial Intelligence

What is Artificial Intelligence?


Artificial intelligence excited the minds of science fiction writers even before the first computer appeared. Of course, it was very tempting to have a car that would understand you as a person and do everything for you. At the same time, it could simply be created and that’s it. That is, it does not need to be hired, raised, educated, trained, and so on. Just collected it and she herself will somehow work.


In addition, she will not be tired, will not demand food, will not sleep, and will not be protected by law on all sides. Simply put, she will become an electronic slave and no one will object to this and seek the ethical side. Even this machine itself will only be glad of such a development.

The concept of intelligence has been formulated many times by almost everyone, starting from thinkers of the past. But the concept of artificial intelligence implies not just “the same thing, but artificial”, but in general something completely different.

In the early 1980s scientists with the surnames Barr and Feigenbaum, who worked closely with the theory of calculations, proposed a definition of artificial intelligence, which is still considered relevant.

Artificial Intelligence Definition

Artificial intelligence (AI) is a field of computer science that is engaged in the development of intelligent computer systems, that is, systems that have the capabilities that we traditionally associate with the human mind – understanding the language, learning, the ability to reason, solve problems, etc.

From the definition it follows that AI is not the final product, but only the “field of computer science”. In addition, the main words in the definition are “learning” and “the ability to reason”.

AI systems use algorithms and data to learn, reason, plan, and perceive situations in order to complete tasks autonomously. AI has been used in many fields, including healthcare, finance, robotics, gaming, and more.

AI algorithms are designed to make decisions, often using real-time data, unlike passive machines that are capable only of mechanical or predetermined responses.

Such features of AI are not able to replace human intelligence, since it implies much more, for example, the ability to express oneself, attachment, ethical principles, and much more. But he can perfectly cope with the ability to reason. The goals of artificial intelligence include computer-enhanced learning, decision making and problem solving.

Artificial intelligence can help fathom probably the most unpredictable difficulties that society has confronted and make the most secure, sound and prosperous world for everybody. In past posts, I have just mutual great open doors in medicinal services and horticulture. In any case, presumably, there is no territory where all the more fascinating – or more significant – openings would open up than the circle of instruction and the arrangement of abilities.

Some common qualities of artificial intelligence :

Capability to learn from data: AI systems can use data to improve their efficiency over time, without being actually clearly set.

Capacity to decide: AI can easily examine records and also choose based upon that review, without individual interference.

Potential to regard: Some AI systems can easily perceive their atmosphere and also translate aesthetic or auditory information.

Capability to process all-natural language: artificial intelligence can easily know as well as reply to human foreign language, featuring speech and also content.

Ability to cause as well as problem-solve: AI can easily use reasoning and thinking to handle concerns, discover trends, and also make predictions.

Potential to self-correct: AI systems may detect their own mistakes and adapt to boost their efficiency.

Potential to adjust to brand new situations: AI can easily conform to brand-new situations and environments, by gaining from brand-new information as well as experiences.

It is actually vital to keep in mind that certainly not all AI bodies possess every one of these high qualities and also the level to which they possess all of them differs.

Customized picking up utilizing AI to adjust showing strategies and materials to the requirements of individual understudies, computerized evaluation, killing the requirement for educators to take tests and saving more opportunity to work with understudies, astute frameworks that change understudies’ ways to deal with discovering data and cooperating with it.