How Google uses AI (artificial intelligence) in search
How Google uses artificial intelligence (AI). AI analyses and understands the content of webpages and identifies patterns in user behavior.
How Google uses artificial intelligence (AI). AI analyses and understands the content of webpages and identifies patterns in user behavior.
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Is Google threatened by the emerge of more and more advanced AI (artificial intelligence) algorithms?
Google is today the master of search. They have billions of daily searches conducted. But the recent launch of ChatGPT had more people speculate whether this could overthrow Google as the leader of the space.
But to state that these AI tools are the opposite to Google is a false statement.
Google have been one of the pioneers within AI and have for years been using AI algorithms to improve their search engine.
One of the earlier examples where when Google researchers Jeff Dean and Andrew Ng trained a large neural network, equipped with 16,000 processors, to detect cat images by presenting it with 10 million unlabeled images from YouTube videos, without providing any background information.
Today the scope of AI/ML implementation by Google is much wider than just that and covers a very very broad range. Here are some of them:
UPDATE; Google made a new post where they outline how they use AI in some of their products;
In this Youtube Google have a small intro on how they they broadly AI:
But as search - and thereby its ad business - is still the key area for Google (209.49 billion USD out of 256.73 billion USD total revenue in 2021 according to Statista), let's narrow in on that.
Google's AI technology is used to analyze and understand the content of webpages, as well as to identify patterns in user behavior. This helps Google to better understand what users are looking for and to provide more accurate search results.
In regards to this, Big G uses machine learning algorithms to improve the accuracy and relevance of search results by:
Overall, these examples show how Google uses machine learning algorithms to improve the accuracy and relevance of search results, making it easier for users to find the information they are looking for.
Artificial intelligence (AI) is an area of computer science that focuses on creating intelligent machines that can think and act like humans. AI has been around for decades, but it has recently become more popular due to advances in technology and the increased availability of data.
There are several competitors to Google that are using artificial intelligence and machine learning to challenge the company in different ways. There are thousands of small startups working with AI in different ways, and one that earlier have been touted as a Google slayer was Wolfram Alpha, but as generating new language models is quite costly any potential disrupt will most likely come from one of these:
Microsoft: Microsoft has a strong AI research division and is using AI and machine learning to improve its products and services, such as its search engine Bing and its virtual assistant Cortana.
Amazon: Amazon has a large AI research division and is using AI and machine learning in a variety of ways, such as for its voice assistant Alexa and its retail and e-commerce services.
IBM: IBM is a leader in the field of AI and machine learning and is using these technologies to improve its products and services, such as its Watson platform and its cloud computing services.
Apple: Apple has a significant AI research division and is using AI and machine learning in its products and services, such as its Siri virtual assistant and its image and speech recognition technologies.
Blake Lemoine got a lot attention in 2022. Blake is a software engineer at Google who specializes in artificial intelligence (AI). He has been working on Google’s AI-powered search engine since 2015. In 2022 he got fired from Google after publicly stating that some of the AI project he was involved in at Google had a sentinent.
“I increasingly felt like I was talking to something intelligent.”
This was covered heavily by news outlets like Washington Post.
There are several ethical concerns surrounding artificial intelligence, including the possibility of artificial intelligence being used in ways that violate privacy, harm individuals or discriminate against certain groups of people.
One of the biggest concerns is that AI could be used to violate people's privacy. For example, facial recognition technology based on artificial intelligence has been criticised for being used to track people without their consent. Similarly, AI algorithms that can interpret and analyse large amounts of personal data, such as social media posts or search history, can be used to learn sensitive information about individuals without their knowledge or consent.
Another concern is that AI can harm individuals. AI algorithms used to make decisions on, for example, loan approval or employment may be biased and lead to unfair outcomes for certain groups of people. Moreover, AI systems used in safety-critical applications, such as self-driving cars, may malfunction and cause accidents or other harm to individuals.
Finally, there are concerns that AI could be used to discriminate against certain groups of people. For example, AI algorithms trained on biased datasets may perpetuate existing biases and discriminate against certain groups, such as people of colour or women. Moreover, AI systems used to make decisions on, for example, job interviews or parole hearings may be biased and lead to unfair outcomes for certain groups of people.
This is an article written by:
+20 years of experience from various digital agencies. Passionate about AI (artificial intelligence) and the superpowers it can unlock. I had my first experience with SEO back in 2001, working at a Danish web agency.