



Economic
“ As businesses maneuver in a data world, will machines replace human judgment, or is trusting human ingenuity in business decisions merely holding onto the past?“
Companies are now implementing decision management systems to transform and analyze data into predictive models. The decision management system is used to receive updates, then conduct business data analysis to support the decision-making process of the business.
Decision management helps make decisions quickly, avoid risks, and automate the decisionmaking process. Decision management systems are widely deployed in the fields of finance, healthcare, commerce, insurance, e-commerce, etc.
AI can easily manage messy and contradictory input. It can process more data than a person could possibly take in and easily identify the signals in the noise. With machine learning, every decision’s outcome trains the system to make better decisions in the future.
Source | Ministry of Science and Technology of Vietnam
Face recognition
Biometric camera
Iris recognition
Biometrics is the measurement and statistical analysis of unique biological and behavioral characteristics of humans. This technology is primarily used to identify and control access, or to identify individuals who are subject to surveillance.
Biometric authentication is becoming increasingly popular in public and enterprise security systems, consumer electronics, and point-of-sale applications. In addition to security, the driving force behind biometric authentication is convenience because the technology does not require
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NLGs even explain another piece of text in a human like way at a rate of thousands of pages per second
Machines process and communicate in a different way than the human brain. Natural language generation is a popular technology that helps convert structured data into native languages. The machine is programmed with algorithms to convert the data into the user’s desired format.
Natural language is a branch of artificial intelligence that helps content developers automate content and deliver it in the desired format. Content developers can use automated content to advertise on various social media platforms and other media platforms to reach their target audience.
Human intervention will be significantly reduced as the data will be converted into the desired formats. Data can be displayed in the form of charts, graphs, etc.
Source | Ministry of Science and Technology of Vietnam
“ From the perspective of artificial intelligence, the main driver of machine learning is the need for knowledge acquisition “
Deep learning is another branch of artificial intelligence that works on neural networks, inspired by the human brain. Deep learning helps solve complex problems the way the human brain does, through the use of a variety of algorithms.
The term “deep” was coined because there are many hidden layers in neural networks. Typically, a neural network has 2-3 hidden layers and can have up to 150 hidden layers. Deep learning is used to train a model and a graphics processing unit based on huge amounts of data. Algorithms work in a hierarchical system to automate predictive analytics.
Deep learning is widely applied in many fields such as aerospace and military to detect objects through satellites, improve occupational safety for workers by identifying risk incidents when workers approach equipment and machinery, help detect cancer cells...
We will look at the list of top 6 artificial intelligence companies in the world, that are contributing greatly to AI enhancement.
The cutting-edge technology of artificial intelligence is no longer a dream! Therefore, it is logical that every large corporation is engaged in this field and is attempting to make significant discoveries. From Google to NVIDIA, everyone knows the name of a big tech company investing a lot in AI because that is what the future holds! Artificial Intelligence Market’s net worth is estimated to exceed USD 118.6 billion by 2025.
We will look at the list of top 6 artificial intelligence companies in the world, that are contributing greatly to AI enhancement. We will understand how Artificial Intelligence impacts business and discuss some of the biggest companies that use Artificial Intelligence. AI systems are generally classified as part of two categories, i.e., narrow AI, specifically designed for a certain task, such as image recognition or language translation,...
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ECONOMIC INEQUALITY
AIhas the potential to contribute to economic inequality by disproportionally benefiting wealthy individuals and corporations. As we talked about above, job losses due to AI driven automation are more likely to affect low skilled workers, leading to a growing income gap and reduced opportunities for social mobility.
The concentration of AI development and ownership within a small number of large corporations and governments can exacerbate this inequality as they accumulate wealth and power while smaller businesses struggle to compete. Policies and initiatives that promote economic equity like reskilling programs, social safety nets, and inclusive AI development that ensures a more balanced distribution of opportunities can help combat economic inequality.
generated content, such as deepfakes, contributes to the spread of false information and the manipulation of public opinion. Efforts to detect and combat AI generated misinformation are critical in preserving the integrity of information in the digital age.
In a Stanford University study on the most pressing dangers of AI, researchers said:
“AI systems are being used in the service of disinformation on the internet, giving them the potential to become a threat to democracy and a tool for fascism. From deepfake videos to online bots manipulating public discourse by feigning consensus and spreading fake news, there is the danger of AI systems undermining social trust. The technology can be coopted by criminals, rogue states, ideological extremists, or simply special interest groups, to manipulate people for economic gain or political advantage.”corporations and governments can exacerbate this inequality as they accumulate wealth and power while smaller businesses struggle to compete. Policies and initiatives that promote economic equity like reskilling programs, social safety nets, and inclusive AI development that ensures a more balanced distribution of opportunities can help combat economic inequality.
AIarms race could lead to the rapid development of AI technologies with potentially harmful consequences.
Recently, more than a thousand technology researchers and leaders, including Apple co-founder Steve Wozniak, have urged intelligence labs to pause the development of advanced AI systems. The letter states that AI tools present “profound risks to society and humanity.”
AItechnologies become increasingly sophisticated, the security risks associated with their use and the potential for misuse also increase. Hackers and malicious actors can harness the power of AI to develop more advanced cyberattacks, bypass security measures, and exploit vulnerabilities in systems.
The rise of AI-driven autonomous weaponry also raises concerns about the dangers of rogue states or non-state actors using this technology especially when we consider the potential loss of human control in critical decision making processes. To mitigate these security risks, governments and organizations need to develop best practices for secure AI development and deployment and foster international cooperation to establish global norms and regulations that protect against AI security threats.corporations and governments can exacerbate this inequality as they accumulate wealth and power while smaller businesses struggle to compete. Policies and initiatives that promote economic equitylike reskilling programs, social safety nets, and inclusive AI development that ensures a more balanced distribution of opportunities can help
In the letter, the leaders said:
“Humanity can enjoy a flourishing future with AI. Having succeeded in creating powerful AI systems, we can now enjoy an ‘AI summer’ in which we reap the rewards, engineer these systems for the clear benefit of all, and give society a chance to adapt.”
Increasing reliance on AI driven communication and interactions could lead to diminished empathy, social skills, and human connections. To preserve the essence of our social nature, we must strive to maintain a balance between technology and human interaction.
The development of artificial general intelligence (AGI) that surpasses human intelligence raises long-term concerns for humanity. The prospect of AGI could lead to unintended and potentially catastrophic consequences, as these advanced AI systems may not be aligned with human values or priorities
To mitigate these risks, the AI research community needs to actively engage in safety research, collaborate on ethical guidelines, and promote transparency in AGI development. Ensuring that AGI serves the best interests of humanity and does not pose a threat to our existence is paramount.
One argument for the importance of this risk references how human beings dominate other species because the human brain possesses distinctive capabilities other animals lack. If AI were to surpass human intelligence and become superintelligent, it might become uncontrollable. Just as the fate of the mountain gorilla depends on human goodwill, the fate of humanity could depend on the actions of a future machine superintelligence.
The ‘bad guy’ most identify from Terminator is a robot with an Austrian accent played by Arnold Schwarzenegger. The line “I’ll be back” has become an integral part of our culture, and even people who have never seen the Terminator franchise will be able to tell you where it’s from.
However, the real villain of the Terminator films is Skynet, an artificial intelligence platform which gained consciousness at such a fast rate that it became paranoid and murderous, deciding to annihilate the human race.
For a few years now, major publications have been half-ironically debating which of the major tech companies is likely to become Skynet. In this blog, we’re taking a look at Google and Skynet, asking whether they are more similar than we would hope.
“PEOPLE ARE OFTEN AFRAID OF WHAT THEY DO NOT UNDERSTAND”