Explainable artificial Intelligence (XAI), is a type AI that provides explanations for its actions. This technology reduces ethical concerns and increases trust between humans, machines and computers. Yet, there is still the question: How can AI make itself more understandable to humans? It all comes down to the specific application and use cases where explainable AI is needed. Two applications in which explainable AI might be useful are autonomous vehicles and self driving cars. We will be discussing the potential benefits of XAI more in detail in this article.
XAI refers to a form of artificial Intelligence that gives explanations for the decisions it makes
XAI refers a type of AI that can provide explanations for its decisions. This form of artificial intelligent is designed to make it simpler to understand the model's steps, and to predict its future. It can help to detect bugs in code and parts that may affect a model's performance. It can help detect biases in the training data. We will briefly discuss the main benefits of XAI in this article.
It reduces ethical problems
The growing number of privacy and ethical concerns surrounding AI and data science is a cause for concern. Companies are forced to look for solutions in an attempt to avoid problems. Ineffective policies and procedures are a common problem for companies that face ethical issues at large. They can lead to slow production and false positives when identifying risk. In addition, these problems are exacerbated when companies engage in joint AI development with third parties.
It improves trust between humans and machines
Researchers have discovered that explaining AI helps humans build more trust in the systems they use. This is because we draw inferences about AI systems on three distinct bases: performance, working mechanism, and purpose. Explanable AI systems not only provide test metrics but also give transparency about their purpose. These three elements are combined to improve trust between humans & machines. However, they can't do this alone.
It is a kind of machine-tomachine explainability
To ensure the ethical and social benefit of a decision, it is vital to explain its reasoning in a world of increasing automation. There are many applications for explainable AI in manufacturing. They can help solve problems on assembly lines or improve machine-tomachine communication. This technique can be useful in military training and may help to mitigate some ethical issues associated with AI.
It applies to telecommunications system
The architecture and design of telecommunications systems have changed dramatically. This describes the overall structure of the system as well as the relationships among its components. Before, cable and data networks coexisted side by side, sharing the same technology base and high-speed digital pipes. The Carterphone decision was made by the Federal Communications Commission in the 1960s. This allowed consumers to buy telecommunications products and services. An individual customer might be able to access the first Internet-based VoIP system through their WiFi local network.
FAQ
What do you think AI will do for your job?
AI will eventually eliminate certain jobs. This includes taxi drivers, truck drivers, cashiers, factory workers, and even drivers for taxis.
AI will bring new jobs. This includes positions such as data scientists, project managers and product designers, as well as marketing specialists.
AI will make current jobs easier. This includes jobs like accountants, lawyers, doctors, teachers, nurses, and engineers.
AI will improve efficiency in existing jobs. This includes customer support representatives, salespeople, call center agents, as well as customers.
What is AI used today?
Artificial intelligence (AI), which is also known as natural language processing, artificial agents, neural networks, expert system, etc., is an umbrella term. It's also known as smart machines.
Alan Turing created the first computer program in 1950. His interest was in computers' ability to think. In his paper "Computing Machinery and Intelligence," he proposed a test for artificial intelligence. This test examines whether a computer can converse with a person using a computer program.
In 1956, John McCarthy introduced the concept of artificial intelligence and coined the phrase "artificial intelligence" in his article "Artificial Intelligence."
Many AI-based technologies exist today. Some are easy and simple to use while others can be more difficult to implement. They include voice recognition software, self-driving vehicles, and even speech recognition software.
There are two major categories of AI: rule based and statistical. Rule-based relies on logic to make decision. A bank account balance could be calculated by rules such as: If the amount is $10 or greater, withdraw $5 and if it is less, deposit $1. Statistical uses statistics to make decisions. A weather forecast may look at historical data in order predict the future.
Which countries are leaders in the AI market today, and why?
China has more than $2B in annual revenue for Artificial Intelligence in 2018, and is leading the market. China's AI industry includes Baidu and Tencent Holdings Ltd. Tencent Holdings Ltd., Baidu Group Holding Ltd., Baidu Technology Inc., Huawei Technologies Co. Ltd. & Huawei Technologies Inc.
The Chinese government has invested heavily in AI development. The Chinese government has created several research centers devoted to improving AI capabilities. The National Laboratory of Pattern Recognition is one of these centers. Another center is the State Key Lab of Virtual Reality Technology and Systems and the State Key Laboratory of Software Development Environment.
China also hosts some of the most important companies worldwide, including Tencent, Baidu and Tencent. These companies are all actively developing their own AI solutions.
India is another country making progress in the field of AI and related technologies. The government of India is currently focusing on the development of an AI ecosystem.
What are the possibilities for AI?
There are two main uses for AI:
* Predictions - AI systems can accurately predict future events. For example, a self-driving car can use AI to identify traffic lights and stop at red ones.
* Decision making - AI systems can make decisions for us. Your phone can recognise faces and suggest friends to call.
AI is used for what?
Artificial intelligence, a field of computer science, deals with the simulation and manipulation of intelligent behavior in practical applications like robotics, natural language processing, gaming, and so on.
AI can also be referred to by the term machine learning. This is the study of how machines learn and operate without being explicitly programmed.
AI is widely used for two reasons:
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To make our lives easier.
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To be able to do things better than ourselves.
Self-driving car is an example of this. AI is able to take care of driving the car for us.
How does AI function?
An artificial neural networks is made up many simple processors called neuron. Each neuron receives inputs form other neurons and uses mathematical operations to interpret them.
Layers are how neurons are organized. Each layer has its own function. The first layer receives raw data, such as sounds and images. These data are passed to the next layer. The next layer then processes them further. Finally, the last layer produces an output.
Each neuron has an associated weighting value. This value is multiplied each time new input arrives to add it to the weighted total of all previous values. If the result is more than zero, the neuron fires. It sends a signal up the line, telling the next Neuron what to do.
This continues until the network's end, when the final results are achieved.
Statistics
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (builtin.com)
- That's as many of us that have been in that AI space would say, it's about 70 or 80 percent of the work. (finra.org)
- A 2021 Pew Research survey revealed that 37 percent of respondents who are more concerned than excited about AI had concerns including job loss, privacy, and AI's potential to “surpass human skills.” (builtin.com)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
- More than 70 percent of users claim they book trips on their phones, review travel tips, and research local landmarks and restaurants. (builtin.com)
External Links
How To
How to Set Up Amazon Echo Dot
Amazon Echo Dot, a small device, connects to your Wi Fi network. It allows you to use voice commands for smart home devices such as lights, fans, thermostats, and more. You can use "Alexa" for music, weather, sports scores and more. You can ask questions, make calls, send messages, add calendar events, play games, read the news, get driving directions, order food from restaurants, find nearby businesses, check traffic conditions, and much more. It works with any Bluetooth speaker or headphones (sold separately), so you can listen to music throughout your house without wires.
An HDMI cable or wireless adapter can be used to connect your Alexa-enabled TV to your Alexa device. You can use the Echo Dot with multiple TVs by purchasing one wireless adapter. You can also pair multiple Echos at one time so that they work together, even if they aren’t physically nearby.
These are the steps you need to follow in order to set-up your Echo Dot.
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Turn off the Echo Dot
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The Echo Dot's Ethernet port allows you to connect it to your Wi Fi router. Make sure to turn off the power switch.
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Open the Alexa app for your tablet or phone.
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Choose Echo Dot from the available devices.
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Select Add a new device.
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Choose Echo Dot, from the dropdown menu.
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Follow the instructions on the screen.
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When prompted enter the name of the Echo Dot you want.
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Tap Allow access.
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Wait until the Echo Dot successfully connects to your Wi Fi.
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Repeat this process for all Echo Dots you plan to use.
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Enjoy hands-free convenience