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How to improve YouTube's Artificial Intelligence



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YouTube's artificial intelligence is proving to be unreliable. This is a concern because the algorithm can misunderstand gun rights and software rights. It also has a right-leaning political bias. It can also make recommendations more difficult for users who don't speak English well. YouTube's algorithmic effects on global inequality have not been given the attention that it deserves.

Problems with YouTube's artificial intelligence

YouTube's first quarter 2019 focused on AI and machine-learning and removed 75% harmful content automatically. This was often before the video had even been viewed. According to the second quarter 2020 Community Guidelines Enforcement Report YouTube removed 11.4 Million videos. Ten percent of these were manually flagged and reported by researchers. The AI is still not able to stop all bad content. Its algorithms can't detect content from human review and censorship because they are biased.


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YouTube's algorithm also has problems. YouTube has publicly admitted to these issues and is currently working to address them. In order to improve its recommendations, the company's AI algorithm measures the time viewers spend watching videos. It also takes into account user history in order to predict whether users will like a certain video. This is known as weighted logistics regression. Problem is that this method gives greater weight to videos that have high ratings compared to videos that have lower ratings.

YouTube's artificial intellect can be improved

YouTube's AI uses randomness as a ranking mechanism. This ensures that users find a wide range of topics. YouTube's AI can flag content that violates platform rules. According to YouTube, close to nine million videos were automatically flagged and removed in the second quarter of 2021. This is a great improvement for the company, but there are ways to improve the technology.


YouTube is the most popular entertainment platform, with more than 30,000,000 Premium subscribers and billions of users. It uses artificial intelligence for efficiency and more relevant content. Its AI is able to predict which videos will go viral the most and can also analyze the quality of uploaded content. YouTube's AI makes its business model more efficient and lucrative. YouTube is striving to make its artificial intelligence even better.

Machine learning: How can you improve it?

YouTube's machine-learning capabilities can be improved by implementing the "Up Next” feature. This feature uses artificial Intelligence to help users discover new videos they might like. YouTube's video library is changing frequently. New videos are added every minute. AI should be able manage this constantly changing data and still provide personalized suggestions. It's not an easy task, but it's one that's worth pursuing.


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Google researchers suggested a solution. To reduce bias, they suggested that YouTube's algorithm be modified. This would mean that videos located near the top of YouTube's sidebar would be given a lower weight, and videos higher up in the rankings would be given more weight. The changes were evaluated on YouTube live by the researchers. They discovered that users engaged more with their changes. YouTube is actively working on improving its machine learning.




FAQ

How does AI function?

Basic computing principles are necessary to understand how AI works.

Computers store information in memory. Computers interpret coded programs to process information. The computer's next step is determined by the code.

An algorithm is a set of instructions that tell the computer how to perform a specific task. These algorithms are often written using code.

An algorithm can be thought of as a recipe. A recipe might contain ingredients and steps. Each step is a different instruction. For example, one instruction might say "add water to the pot" while another says "heat the pot until boiling."


What uses is AI today?

Artificial intelligence (AI), also known as machine learning and natural language processing, is a umbrella term that encompasses autonomous agents, neural network, expert systems, machine learning, and other related technologies. It is also called smart machines.

Alan Turing, in 1950, wrote the first computer programming programs. He was curious about whether computers could think. He proposed an artificial intelligence test in his paper, "Computing Machinery and Intelligence." This test examines whether a computer can converse with a person using a computer program.

John McCarthy in 1956 introduced artificial intelligence. He coined "artificial Intelligence", the term he used to describe it.

Today we have many different types of AI-based technologies. Some are simple and easy to use, while others are much harder to implement. They range from voice recognition software to self-driving cars.

There are two major types of AI: statistical and rule-based. Rule-based AI uses logic to make decisions. For example, a bank balance would be calculated as follows: If it has $10 or more, withdraw $5. If it has less than $10, deposit $1. Statistic uses statistics to make decision. To predict what might happen next, a weather forecast might examine historical data.


How does AI impact the workplace?

It will revolutionize the way we work. It will allow us to automate repetitive tasks and allow employees to concentrate on higher-value activities.

It will increase customer service and help businesses offer better products and services.

This will enable us to predict future trends, and allow us to seize opportunities.

It will allow organizations to gain a competitive advantage over their competitors.

Companies that fail AI implementation will lose their competitive edge.


What is the latest AI invention?

The latest AI invention is called "Deep Learning." Deep learning is an artificial intelligence technique that uses neural networks (a type of machine learning) to perform tasks such as image recognition, speech recognition, language translation, and natural language processing. Google invented it in 2012.

Google recently used deep learning to create an algorithm that can write its code. This was done with "Google Brain", a neural system that was trained using massive amounts of data taken from YouTube videos.

This enabled the system learn to write its own programs.

In 2015, IBM announced that they had created a computer program capable of creating music. The neural networks also play a role in music creation. These are sometimes called NNFM or neural networks for music.


How will governments regulate AI

AI regulation is something that governments already do, but they need to be better. They must ensure that individuals have control over how their data is used. They must also ensure that AI is not used for unethical purposes by companies.

They should also make sure we aren't creating an unfair playing ground between different types businesses. A small business owner might want to use AI in order to manage their business. However, they should not have to restrict other large businesses.


Is there any other technology that can compete with AI?

Yes, but not yet. Many technologies have been created to solve particular problems. All of them cannot match the speed or accuracy that AI offers.



Statistics

  • In 2019, AI adoption among large companies increased by 47% compared to 2018, according to the latest Artificial IntelligenceIndex report. (marsner.com)
  • By using BrainBox AI, commercial buildings can reduce total energy costs by 25% and improves occupant comfort by 60%. (analyticsinsight.net)
  • 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)
  • 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)



External Links

hbr.org


medium.com


gartner.com


mckinsey.com




How To

How to Set Up Amazon Echo Dot

Amazon Echo Dot can be used to control smart home devices, such as lights and fans. To begin listening to music, news or sports scores, say "Alexa". 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. Bluetooth speakers or headphones can be used with it (sold separately), so music can be played throughout the house.

Your Alexa-enabled devices can be connected to your TV with a HDMI cable or wireless connector. If you want to use your Echo Dot with multiple TVs, just buy one wireless adapter per TV. You can pair multiple Echos simultaneously, so they work together even when they aren't physically next to each other.

Follow these steps to set up your Echo Dot

  1. Turn off your Echo Dot.
  2. Connect your Echo Dot to your Wi-Fi router using its built-in Ethernet port. Make sure the power switch is turned off.
  3. Open Alexa on your tablet or smartphone.
  4. Select Echo Dot among the devices.
  5. Select Add a New Device.
  6. Choose Echo Dot among the options in the drop-down list.
  7. Follow the on-screen instructions.
  8. When asked, type your name to add to your Echo Dot.
  9. Tap Allow access.
  10. Wait until your Echo Dot is successfully connected to Wi-Fi.
  11. For all Echo Dots, repeat this process.
  12. Enjoy hands-free convenience




 



How to improve YouTube's Artificial Intelligence