Explainable artificial intelligence (XAI) is a type of AI that includes explanations for its decisions. This technology helps mitigate ethical concerns and builds trust between humans and machines. Yet, there is still the question: How can AI make itself more understandable to humans? The answer lies in which application and what use cases explainable AI will be useful. There are two possible applications for which explainable AI may be of value: self-driving and autonomous cars. We will be discussing the potential benefits of XAI more in detail in this article.
XAI, a type of artificial intelligence that provides explanations for its actions, is called XAI.
XAI stands for a type AI that provides explanations behind its decisions. This type of artificial Intelligence is meant to make it easier to understand how the model works and what its predictions are. It can identify bugs in code or components that could cause a model to fail. It can also identify biases within the training data. We will briefly discuss the main benefits of XAI in this article.
It can help mitigate ethical issues
A growing number of privacy concerns and ethical concerns related to AI and Data Science is a concern. 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. 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. Companies that collaborate with third parties to develop AI can exacerbate these problems.
It enhances trust between humans & machines
Researchers discovered that explaining AI increases trust in the systems used by humans. This is because we draw inferences about AI systems on three distinct bases: performance, working mechanism, and purpose. Explainable AI systems, in addition to providing metrics for testing, also provide transparency about the system's purpose. These three elements are combined to improve trust between humans & machines. They are not able to do this all by themselves.
It is a form machine-to-machine explanationability
It is important to explain why a decision was made in today's world of increased automation and machine–to–machine communication. This will help ensure ethical and sustainable 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. Furthermore, this method may also prove helpful in military training, and can mitigate some of the ethical issues that are commonly associated with AI.
It's relevant to telecommunications networks
The architecture of telecommunications system has fundamentally changed. It describes the system's overall structure and the relationships it has with its components. Cable and data networks existed side by side before, sharing the same technology platform and high-speed digital pipe. In 1960, the Federal Communications Commission issued the Carterphone decision allowing consumers to purchase telecommunications service and products. An individual customer might be able to access the first Internet-based VoIP system through their WiFi local network.
FAQ
What is the state of the AI industry?
The AI industry continues to grow at an unimaginable rate. The internet will connect to over 50 billion devices by 2020 according to some estimates. This will allow us all to access AI technology on our laptops, tablets, phones, and smartphones.
Businesses will have to adjust to this change if they want to remain competitive. Companies that don't adapt to this shift risk losing customers.
It is up to you to decide what type of business model you would use in order take advantage of these potential opportunities. Do you envision a platform where users could upload their data? Then, connect it to other users. Perhaps you could also offer services such a voice recognition or image recognition.
No matter what your decision, it is important to consider how you might position yourself in relation to your competitors. It's not possible to always win but you can win if the cards are right and you continue innovating.
What are some examples AI apps?
AI is being used in many different areas, such as finance, healthcare management, manufacturing and transportation. Here are a few examples.
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Finance - AI has already helped banks detect fraud. AI can identify suspicious activity by scanning millions of transactions daily.
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Healthcare – AI is used for diagnosing diseases, spotting cancerous cells, as well as recommending treatments.
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Manufacturing - AI can be used in factories to increase efficiency and lower costs.
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Transportation – Self-driving cars were successfully tested in California. They are being tested in various parts of the world.
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Energy - AI is being used by utilities to monitor power usage patterns.
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Education - AI has been used for educational purposes. Students can communicate with robots through their smartphones, for instance.
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Government – AI is being used in government to help track terrorists, criminals and missing persons.
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Law Enforcement – AI is being utilized as part of police investigation. The databases can contain thousands of hours' worth of CCTV footage that detectives can search.
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Defense – AI can be used both offensively as well as defensively. An AI system can be used to hack into enemy systems. In defense, AI systems can be used to defend military bases from cyberattacks.
How does AI work
An algorithm is an instruction set that tells a computer how solves a problem. An algorithm can be expressed as a series of steps. Each step has a condition that determines when it should execute. The computer executes each step sequentially until all conditions meet. This is repeated until the final result can be achieved.
Let's take, for example, the square root of 5. One way to do this is to write down all numbers between 1 and 10 and calculate the square root of each number, then average them. It's not practical. Instead, write the following formula.
sqrt(x) x^0.5
This will tell you to square the input then divide it twice and multiply it by 2.
This is how a computer works. It takes your input, squares it, divides by 2, multiplies by 0.5, adds 1, subtracts 1, and finally outputs the answer.
How does AI impact work?
It will change how we work. We'll be able to automate repetitive jobs and free employees to focus on higher-value activities.
It will help improve customer service as well as assist businesses in delivering better products.
It will allow us future trends to be predicted and offer opportunities.
It will enable organizations to have a competitive advantage over other companies.
Companies that fail AI implementation will lose their competitive edge.
Which countries lead the AI market and why?
China is the world's largest Artificial Intelligence market, with over $2 billion in revenue in 2018. China's AI industry is led in part by Baidu, Tencent Holdings Ltd. and Tencent Holdings Ltd. as well as Huawei Technologies Co. Ltd. and Xiaomi Technology Inc.
China's government invests heavily in AI development. The Chinese government has established several research centres to enhance AI capabilities. These centers include the National Laboratory of Pattern Recognition and State Key Lab of Virtual Reality Technology and Systems.
China is also home of some of China's largest companies, such as Baidu (Alibaba, Tencent), and Xiaomi. All these companies are active in developing their own AI strategies.
India is another country that has made significant progress in developing AI and related technology. The government of India is currently focusing on the development of an AI ecosystem.
Statistics
- The company's AI team trained an image recognition model to 85 percent accuracy using billions of public Instagram photos tagged with hashtags. (builtin.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)
- Additionally, keeping in mind the current crisis, the AI is designed in a manner where it reduces the carbon footprint by 20-40%. (analyticsinsight.net)
- 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)
- In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
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How To
How to set Cortana's daily briefing up
Cortana is a digital assistant available in Windows 10. It is designed to help users find answers quickly, keep them informed, and get things done across their devices.
Your daily briefing should be able to simplify your life by providing useful information at any hour. The information should include news, weather forecasts, sports scores, stock prices, traffic reports, reminders, etc. You have the option to choose which information you wish to receive and how frequently.
Press Win + I to access Cortana. Click on "Settings" and select "Daily Briefings". Scroll down until you can see the option of enabling or disabling the daily briefing feature.
If you've already enabled daily briefing, here are some ways to modify it.
1. Open the Cortana app.
2. Scroll down to the "My Day" section.
3. Click the arrow near "Customize My Day."
4. Choose which type you would prefer to receive each and every day.
5. Change the frequency of the updates.
6. You can add or remove items from your list.
7. Save the changes.
8. Close the app