Reima Budd


The 7 Huge Risks Of Artificial Intelligence

Artificial intelligence (AI) performs a great deal of good and will continue to deliver numerous benefits for our contemporary environment, but there will unavoidably be harmful repercussions. We will be better positioned to mitigate and manage the risks the sooner we consider what they might be.

Some famous individuals, such as Tesla and SpaceX CEO and innovator Elon Musk and legendary physicist Stephen Hawking, believe AI might be highly hazardous; Musk once compared AI to the threats posed by the North Korean dictator. Bill Gates, the co-founder of Microsoft, agrees that there are reasons to be cautious but that the positive can exceed the bad if adequately controlled. The moment has come to assess the hazards posed by artificial intelligence, as recent advancements have made super-intelligent computers attainable far sooner than initially anticipated.

With all the buzz surrounding Artificial Intelligence – self-driving cars, robots, etc. – it’s tempting to imagine that AI does not affect our daily lives. In truth, most of us encounter Artificial Intelligence in one form or another nearly daily. From the moment when you wake up and check your smartphone to the time you watch another Netflix-recommended film, AI has rapidly become a part of our daily life. According to a study by Statista, the worldwide AI market is projected to expand by up to 54 percent annually. But what is AI exactly? Will it genuinely benefit humanity in the future? In this post, we will analyze the many pros and cons of Artificial Intelligence.

What is Artificial Intelligence?

From SIRI to autonomous vehicles, artificial intelligence (AI) is advancing swiftly. AI encompasses everything from Google search algorithms to IBM’s Watson to autonomous weapons. In science fiction, AI is commonly portrayed as robots with human-like traits.

Today’s artificial intelligence is classified as narrow AI (or weak AI) since it is designed to execute a particular purpose. However, many researchers’ long-term objective is to develop generic AI (AGI or strong AI). While narrow AI may surpass humans in some tasks, like playing chess or mathematical calculations, AGI would exceed humans in most cognitive tasks.

Is Artificial Intelligence a Threat?

As AI becomes more sophisticated and pervasive, so are the voices warning of its current and potential perils. Concern abounds on various fronts, including the rising automation of some jobs, gender and racial bias issues stemming from outmoded information sources, and autonomous weapons that function without human oversight. And we’re still very early in the process.

Destructive Superintelligence, also known as artificial general intelligence generated by humans that escapes our control and wreaks havoc, is unique. It is also something that may or may not occur (theories vary), so at this point, it is less of a risk and more of a hypothetical threat — a constant source of existential dread.

Here are several ways in which artificial intelligence poses a grave threat:

1. AI Bias

Since people create Artificial Intelligence algorithms, they may contain biases introduced either purposefully or unintentionally by their creators. If AI algorithms are constructed with a preference, or if the data in their training sets are biased, they will deliver limited results. This reality could result in unforeseen repercussions similar to those observed with biased recruiting algorithms and Microsoft’s racist Twitter chatbot. As organizations develop AI algorithms, they must be ethically designed and trained.

2. Autonomous Weapons

AI programmed to perform something dangerous, such as autonomous weaponry designed to kill, is one way AI might pose a threat. It is possible to anticipate that the nuclear arms race will be replaced by a global arms race, including autonomous weapons. Vladimir Putin, the president of Russia, stated, “Artificial intelligence is the future, not only for Russia but for all of humanity. It presents great opportunities and hazards that are impossible to forecast. Whoever becomes the leader in this field will become the world’s ruler.”

A more pressing worry than the possibility that autonomous weapons could develop a “mind of their own” is the potential threat they pose when used by an individual or nation that does not respect human life. They will likely be difficult to dismantle or combat once deployed.

3. Security, Privacy, and the Emerging Deepfakes

Even though job loss is now the most serious risk associated with AI disruption, it is only one of several potential dangers. In a paper titled “The Malicious Use of Artificial Intelligence: Forecasting, Preventative measures, and Mitigation,” published in February 2018, 26 researchers from 14 institutions (academic, civil, and industry) enumerated several other threats that could cause severe harm or, at the very least, sow minor chaos in less than five years.

“Malicious use of AI,” they wrote in their 100-page report, “could threaten digital security (e.g., through cyber-criminals are training AI-enabled machines to try to attack or socially engineer victims at superhuman levels of performance), physical security (e.g., non-state actors weaponizing consumer drones), and political security.”

In addition to its existential threat, Ford is concerned about how AI will negatively impact privacy and security. He cited China’s “Orwellian” usage of facial recognition technology in offices, schools, and other locations as a prime example. However, that is only one country—a “global ecosphere” of enterprises specializing in comparable technologies and selling them worldwide.

We can only speculate whether this technology will ever become standard practice. As with the internet, where we carelessly sacrifice our digital data on the altar of convenience, would round-the-clock, AI-analyzed monitoring one day appear to be a reasonable trade-off for more excellent safety and security despite its nefarious use by bad actors?

Ford stated, “Authoritarian regimes use or will utilize it.” “The question is, to what extent does it infiltrate Western countries and democracies, and what restrictions do we impose?”

4. AI Terrorism

Similarly, there may be new AI-enabled forms of terrorism to contend with, such as the growth of autonomous drones, the introduction of robotic swarms, remote attacks, and the transmission of disease via Nano-robots. Our law enforcement and military forces will need to adapt to their possible threat.

It will require time and substantial human reasoning to decide the optimal approach to prepare for a future that includes even more AI applications so that the potential for negative consequences associated with its continued acceptance can be mitigated to the greatest extent possible.

As with any disruptive event, these are not simple circumstances to resolve. However, as long as humans are involved in establishing solutions, we will be able to reap the benefits of artificial intelligence while minimizing and mitigating its harmful effects.

5. Unemployment

A robot is one application of AI displacing jobs and creating unemployment (in a few cases). Consequently, others argue that unemployment is always possible due to chatbots and robots replacing humans.

In some technologically advanced nations, such as Japan, robots are regularly used to replace human labor in the manufacturing sector. However, this is not always the case, as automation generates extra employment opportunities for humans while also replacing humans to boost efficiency. AI technologies automate the majority of mundane and repetitive operations. Since we no longer need to memorize information or solve puzzles to complete our jobs, we use our brains less and less. This reliance on AI could pose concerns for future generations.

6. Privacy intrusion and social ranking

It is currently possible to track and evaluate an individual’s every online and offline action. There are cameras practically everywhere, and facial recognition algorithms can identify you. This information will be used to power China’s social credit system, which is projected to assign every one of the country’s 1.4 billion inhabitants a personal score based on their behavior, such as whether they jaywalk, smoke in non-smoking places, or spend too much time playing video games. When Big Brother is watching you and making judgments based on that information, it is not only a violation of your privacy, but May soon led to social oppression.

7. Stock Market Instability

Have you ever wondered how algorithms could bring our entire banking system down? Specifically, Wall Street. You may want to pay attention. It is possible that algorithmic trading will trigger the next major financial catastrophe.

How is algorithmic trading defined? This sort of trading occurs when a computer executes trades based on pre-programmed instructions without the instincts or emotions that could impair a human’s judgment. These computers can execute high-volume, high-frequency, and high-value trades, resulting in significant losses and considerable market volatility—algorithmic HFT (High-Frequency Trading) is proven to be a substantial market risk element. HFT is essentially when a machine executes hundreds of trades at breakneck speed, intending to sell them a few seconds later for modest profits. Thousands of these transactions every second can amount to a substantial sum of money. The problem with high-frequency trading is that it disregards the interconnections of the markets and that human emotion and reasoning continue to play a significant role in our needs.

A sell-off of shares outstanding in the airline market may frighten people into selling their stakes in the hotel industry, which might snowball into people selling their interests in other travel-related companies, which could then affect logistics and food supply firms, etc.

Consider the “Flash Crash” of May 2010, for instance. The Dow Jones fell 1,000 points (more than $1 trillion in value) near the end of the trading day before recovering to normal levels 36 minutes later. What led to this collision? A London-based trader named Navin Singh Sarao initially precipitated the disaster, which was then worsened by high-frequency trading (HFT) computers. Sarao utilized a “spoofing” algorithm to place an order for thousands of stock index futures contracts with the expectation that the market would decline. Instead of completing the wager, Sarao planned to change his mind at the last minute and purchase the stocks that were being sold off at a discount due to his wager. Other people and HFT computers interpreted this $200 million wager as a hint that the market would crash. In response, HFT computers initiated one of the most significant stock sell-offs in history, resulting in a temporary worldwide loss of over $1 trillion.

Financial HFT algorithms are also not always accurate. We perceive computers as the pinnacle of correctness, yet AI is just as intelligent as the humans who designed it. In 2012, a problem brought Knight Capital Group close to insolvency. Computers at Knight inadvertently transmitted numerous orders per second to the NYSE, causing massive havoc for the company. In under 45 minutes, the HFT algorithms performed a staggering 4 million deals involving 397 million shares. Due to the instability caused by this computer glitch, Knight lost $460 million overnight and was forced to be acquired by another company. Knight learned this lesson the hard way, as errant algorithms have enormous ramifications for investors and the markets themselves.

The Bottom Line

Now that you know both the benefits and drawbacks of Artificial Intelligence, one thing is sure: AI has enormous potential to make the world a better place to live. Humans’ most crucial responsibility will be to ensure that the rise of AI does not spiral out of control. Although the merits and disadvantages of artificial intelligence are arguable, its impact on the global economy is evident. It continues to expand daily, contributing to the sustainability of businesses. AI literacy and skill enhancement are unavoidable requirements to succeed in several vocations in the 21st century. The AI and Machine Learning certification course, AI program, and Master in Artificial Intelligence offered by Simplilearn will accelerate your career in AI and prepare you for one of the most exciting careers in the world. This curriculum covers AI fundamentals and advanced topics, including deep learning networks, natural language processing, and reinforcement learning. Start today with this training and establish your AI career aspirations.

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Ananya Gupta

Ananya Gupta


7 Ways Artificial Intelligence Can Help Make Your Time at Home

Artificial Intelligence enhances the speed, precision, and effectiveness of human efforts. In financial institutions, AI techniques are often wont to identify which transactions are likely to be fraudulent, adopt fast and accurate credit scoring, also as automate manually intense data management tasks.

AI would have a coffee error rate compared to humans if coded properly. they might have incredible precision, accuracy, and speed. they will not be suffering from hostile environments, thus ready to complete dangerous tasks, explore in space, and endure problems that might injure or kill us.

1. AI goes to show your kitchen into a Michelin star restaurant
Smart kitchen appliances and smart speakers are making their way into kitchens all around the world. you’ll even have one now. Whether it is a coffee machine or an oven, these tools are evolving, learning your schedules and patterns so that they will provide you with warm food, coffee, etc. However, this is often just the start.

Your new smart fridge could also be ready to track when food is low and place orders for you when food is low. Or, better yet, AI might be wont to assist you to create the right meal with just the ingredients you’ve got within the refrigerator. Utilizing AI technologies with gastronomical learning, companies like Plant Jammer and Chefling are helping people create delicious food with the ingredients they need available. Currently, Facebook has developed an image-to-recipe generation system that permits users to reverse engineer a recipe by only taking an image of the dish.

2. The way you experience entertainment will change

Google Assistant, Cortana, and Alexa have already infiltrated your home, impacting the way you interact together with your TV and streaming services, allowing you to voice control almost everything; slowly making remotes obsolete. almost like the kitchen example, these devices are learning your watching habits, eventually directing you on what to observe. However, it’s getting to go much further.

3.You’re getting to have tons more fun together with your games

You may be proud of the gaming industry, or perhaps you wish to ascertain some major changes. Though a touch slower on the buyer side, there’s a change coming to the gaming industry, change driven by AI. Developers are using AI to make more immersive and realistic experiences, even within a fantasy world.
AI will better help developers create games that change on the fly, adapting to your gameplay. Even more so, if you’ve got old games that you simply would like remastered, AI is additionally getting used to enhance the general look of classic games. Finally, while reception, expect customized gaming experiences. If you want to learn AI and work practically then join the best Artificial Intelligence Training Institute in Noida and improve your skills now.

4. You’ll have your own Alfred soon

Maybe you usually wanted to possess a Jarvis AI system like Tony Stark? Or, perhaps you would like to travel the more traditional route and obtain yourself a loyal butler-like Alfred. Whichever the case, AI could make this possible via robotics. the world of robot personal assistants is an industry growing rapidly. Though some would simply dub the present models as just smart speakers with wheels, many of those current robotic personal assistants offer tons of impressive features. Soon, you would possibly have something that appears tons less like Wall-E and more just like the robots in iRobot

Robots like Jib are a little example of the approaching future. The social robot looks around, learning about you and your home. He even has an “expressive face.” He can even take pictures of you and share them on social media.

5. Enhanced health and fitness reception
Being able to watch patient’s reception with real-time data remotely, effectively, might be revolutionary. Going far beyond the Apple watch that you simply wear your wrist immediately, healthcare professionals could tap into the predictive powers of AI to work outpatients who are potentially in danger of disease or injury. This can give doctors tons more power but could alleviate a number of the pressure placed on the healthcare systems during flu season, saving lives. Companies like Gyant, Medopad, and Chonisense Medical are utilizing current AI technologies to seem after the elderly and chronic patients.

6. Your home will become more environmentally friendly
As humans, there’s no denying it; we will be wasteful, especially in our homes. However, having more control and knowledge of our waste and energy consumption could help us become more environmentally friendly, saving you money within the long-term. Though already available in some places across the planet, with products to get, AI energy-saving systems have yet to be fully adopted.

7. Your home is going to be ready to fix itself

The idea isn’t too far away. And, let’s agree home projects aren’t always the foremost exciting. Even more so, when something breaks in your home, you would like to repair it as soon as possible. a bit like a sensible medical device, homes are going to be ready to run self-diagnostics predicting potential issues before they occur, contacting the acceptable repairman, who may very well be a robot.

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Ananya Gupta

Ananya Gupta


Start a Career in Machine Learning and Artificial Intelligence

Artificial Intelligence (AI) made headlines recently when people started reporting that Alexa was laughing unexpectedly. Those news reports led to the standard jokes about computers taking up the planet.

The AI Career Landscape
AI is returning more traction lately due to recent innovations that have made headlines, Alexa’s unexpected laughing notwithstanding. But AI has been a sound career choice for a short time now due to the growing adoption of the technology across industries and therefore the need for trained professionals to try to to the roles created by this growth.

AI and Machine Learning Explained
If you’re new to the sector, you would possibly be wondering, just what’s AI then? AI is how we make intelligent machines. It’s software that learns almost like how humans learn, mimicking human learning so it can take over a number of our jobs for us and do other jobs better and faster than we humans ever could. Machine learning may be a subset of AI, so sometimes when we’re describing AI, we’re describing machine learning join online machine learning course, which is that the process by which learn Artificial Intelligence course now!

The Three Main Stages of AI
AI is rapidly evolving, which is one reason why a career in AI offers such a lot potential. As technology evolves, learning improves. Van Loon described the three stages of AI and machine learning development as follow:

Stage one is machine learning - Machine learning consists of intelligent systems using algorithms to find out from experience.
Stage two is machine intelligence - Which is where our current AI technology resides now. during this stage, machines learn from experience supported false algorithms. it’s a more evolved sort of machine learning, with improved cognitive abilities.
Stage three is machine consciousness - this is often when systems can do self-learning from experience with none external data. Siri is an example of machine consciousness.

Subsets of Machine Learning

Neural Networks
Natural Language Processing (NLP)
Deep Learning

How to start in AI?
If you’re intrigued by this career field and wondering the way to start , Van Loon described the training paths for 3 differing types of professionals; those new the sector , programmers, and people already working in data science. He also points out that various industries require different skill sets, but all working in AI should have excellent communication skills before addressing the maths and computing skills needed.

Specific Jobs in AI

  • Machine Learning Researchers
  • AI Engineer
  • Data Mining and Analysis
  • Machine Learning Engineer
  • Data Scientist
  • Business Intelligence (BI) Developer

The Future of AI

As the demand for AI and machine learning has increased, organizations require professionals with in-and-out knowledge of those growing technologies and hands-on experience.If you would like to be one among those professionals, get certified, because the earlier you get your training started, the earlier you’ll be working during this exciting and rapidly changing field.CETPA provides Graduate program will assist you substitute the gang and grow your career in thriving fields like AI , Machine Learning, and Deep Learning.

If you’re curious about becoming an AI expert then we’ve just the proper guide for you. the synthetic Intelligence Career Guide will offer you insights into the foremost trending technologies, the highest companies that are hiring, the talents required to jumpstart your career within the thriving field of AI, and offers you a customized roadmap to becoming a successful AI expert.

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Orlo  Gottlieb

Orlo Gottlieb


How Artificial Intelligence Is Reshaping the IT Industry

Artificial Intelligence has powerfully penetrated the way we live. It doesn’t only change the way we work but also reshaped how we used to live. Speaking of AI, it is one of the most interesting technologies that we’ve ever encountered.

Without a doubt, AI is contributing a lot in boosting business and IT productivity. Therefore, in this blog, I will highlight important insights on how AI is reshaping IT. Before digging deeper into details, let’s start with some basics on AI and how it works.

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Artificial Intelligence Development Company | AI App Development Solutions

Artificial Intelligence Development Company

One technology that would rule the 21st century in terms of its use is Artificial Intelligence (AI). It is a self-learning machine that uses its experiences to correct itself for delivering better results to the user in every aspect of life.

Want to develop a tool that works on artificial intelligence?

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Archie  Powell

Archie Powell


7 Types of Neural Networks in Artificial Intelligence Explained

Neural Networks are a subset of Machine Learning techniques which learn the data and patterns in a different way utilizing Neurons and Hidden layers. Neural Networks are way more powerful due to their complex structure and can be used in applications where traditional Machine Learning algorithms just cannot suffice.

By the end of this tutorial, you will have the knowledge of:

  • A brief history of Neural Networks
  • What are Neural Networks
  • Types of Neural Networks
  1. Perceptron
  2. Feed Forward Networks
  3. Multi-Layer Perceptron
  4. Radial Based Networks
  5. Convolutional Neural Networks
  6. Recurrent Neural Networks
  7. Long Short-Term Memory Networks

A Brief History of Neural Networks

Researchers from the 60s have been researching and formulating ways to imitate the functioning of human neurons and how the brain works. Although it is extremely complex to decode, a similar structure was proposed which could be extremely efficient in learning hidden patterns in Data.

For most of the 20th century, Neural Networks were considered incompetent. They were complex and their performance was poor. Also, they required a lot of computing power which was not available at that time. However, when the team of Sir Geoffrey Hinton, also dubbed as “The Father of Deep Learning”, published the research paper on Backpropagation, tables turned completely. Neural Networks could now achieve which was not thought of.

What are Neural Networks?

Neural Networks use the architecture of human neurons which have multiple inputs, a processing unit, and single/multiple outputs. There are weights associated with each connection of neurons. By adjusting these weights, a neural network arrives at an equation which is used for predicting outputs on new unseen data. This process is done by backpropagation and updating of the weights.

Types of Neural Networks

Different types of neural networks are used for different data and applications. The different architectures of neural networks are specifically designed to work on those particular types of data or domain. Let’s start from the most basic ones and go towards more complex ones.

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