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. But the question remains: What can be done to make AI more understandable? Answers lie in the use cases and applications for which AI can be explained. Explainable AI is valuable in two areas: autonomous vehicles and self-driving car. This article will provide more details on the benefits of XAI.
XAI refers to a form of artificial Intelligence that gives explanations for the decisions it makes
XAI stands for a type AI that provides explanations behind its decisions. This form of artificial intelligence is designed to make it easier to understand the model's steps and predictions. It can help identify potential bugs in the code and components that weaken the performance of a model. It can also help identify biases embedded in the training data. This article will briefly outline the main benefits and limitations of XAI.
It reduces ethical problems
Concern is growing over privacy and ethics concerns around AI and data-science. Without a consistent, robust protocol for evaluating risk, companies scramble to find solutions as they arise and hope the problem will go away on its own. Most companies dealing with ethical issues at scale have ineffective policies and procedures which lead to inefficient risk identification and slow production. These problems are made worse when companies collaborate in AI development with third-parties.
It enhances trust between people and machines
Research shows that explaining AI builds trust in the systems we use. This is significant because we draw conclusions about AI systems from three different factors: performance, working mechanisms and purpose. Explainable AI systems, in addition to providing metrics for testing, also provide transparency about the system's purpose. These three elements work together to improve trust between humans and machines. They can't do it all.
It is a form machine-to-machine explanationability
Explaining the reason behind a decision is crucial in an age of machine-to-machine communications and increasing automation to ensure that it has ethical and social benefits. Explanable AI can be used in many areas of manufacturing. It can help to explain problems on production lines, improve machine-to-machine communication, and increase situational awareness between humans. This method can also be used to train military personnel and reduce some of the ethical concerns that AI is known for.
It applies to telecommunications system
The architecture of telecommunications system has fundamentally changed. It describes the general structure of the system and the relationships between its components. Cable and data networks were coexisting before. They shared the same technology base, high-speed digital pipes, and had been in existence for a long time. The Carterphone decision by the Federal Communications Commission was made in 1960. It allowed consumers to purchase telecommunications services. The first Internet based VoIP service may be available through a customer-owned WiFi local area network.
FAQ
Is Alexa an Artificial Intelligence?
The answer is yes. But not quite yet.
Amazon's Alexa voice service is cloud-based. It allows users to communicate with their devices via voice.
First, the Echo smart speaker released Alexa technology. Other companies have since created their own versions with similar technology.
Some of these include Google Home, Apple's Siri, and Microsoft's Cortana.
How does AI work
An artificial neural network is composed of simple processors known as neurons. Each neuron receives inputs form other neurons and uses mathematical operations to interpret them.
The layers of neurons are called layers. Each layer performs an entirely different function. The first layer receives raw information like images and sounds. It then sends these data to the next layers, which process them further. Finally, the output is produced by the final layer.
Each neuron also has a weighting number. This value gets multiplied by new input and then added to the sum weighted of all previous values. If the result exceeds zero, the neuron will activate. It sends a signal to the next neuron telling them what to do.
This is repeated until the network ends. The final results will be obtained.
What is the role of AI?
An algorithm is a sequence of instructions that instructs a computer to solve a problem. A sequence of steps can be used to express an algorithm. Each step must be executed according to a specific condition. The computer executes each instruction in sequence until all conditions are satisfied. This continues until the final result has been achieved.
For example, suppose you want the square root for 5. It is possible to write down every number between 1-10, calculate the square root for each and then take the average. It's not practical. Instead, write the following formula.
sqrt(x) x^0.5
This says to square the input, divide it by 2, then multiply by 0.5.
This is the same way a computer works. It takes the input and divides it. Then, it multiplies that number by 0.5. Finally, it outputs its answer.
Statistics
- 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)
- According to the company's website, more than 800 financial firms use AlphaSense, including some Fortune 500 corporations. (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)
- While all of it is still what seems like a far way off, the future of this technology presents a Catch-22, able to solve the world's problems and likely to power all the A.I. systems on earth, but also incredibly dangerous in the wrong hands. (forbes.com)
External Links
How To
How to create Google Home
Google Home is a digital assistant powered by artificial intelligence. It uses sophisticated algorithms, natural language processing, and artificial intelligence to answer questions and perform tasks like controlling smart home devices, playing music and making phone calls. With Google Assistant, you can do everything from search the web to set timers to create reminders and then have those reminders sent right to your phone.
Google Home integrates seamlessly with Android phones and iPhones, allowing you to interact with your Google Account through your mobile device. By connecting an iPhone or iPad to a Google Home over WiFi, you can take advantage of features like Apple Pay, Siri Shortcuts, and third-party apps that are optimized for Google Home.
Google Home has many useful features, just like any other Google product. Google Home can remember your routines so it can follow them. It doesn't need to be told how to change the temperature, turn on lights, or play music when you wake up. Instead, just say "Hey Google", to tell it what task you'd like.
These steps are required to set-up Google Home.
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Turn on Google Home.
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Press and hold the Action button on top of your Google Home.
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The Setup Wizard appears.
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Select Continue.
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Enter your email adress and password.
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Register Now
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Google Home is now available