What Is The Meaning Of Algorithms, And How We Understand Them

But what exactly is an algorithm?

An algorithm is a set of setting or recordings of user steps followed by a computer to produce something. Algorithms don't just exist on phones, they're used in almost all kinds of processes. From helping with homework to'guiding' a robotic vacuum to avoid animal waste.

The way the algorithm works, and the resulting interface system, is thought to produce mysterious pattern, is especially since the use of Artificial intelligence (AI) techniques makes it even more complex.

AI result are deemed not always understandable, or accurate and the consequencees can be disastrous of users.

The algorithm was first introduced by a research scientist on the AI team at AI modeler Hugging Face. Simple algorithms have been used for computer-based decision making for decades.

Today, algorithms help simplify processes that were originally complex. When you visit an e-commerce and see pajamas, the algorithm will map the cheapest t most expensive models.

This method is often used by Facebook, Instagram, and Twitter to help personalize user feeds based on each individual's interests and activities.

How mind mapping algorithms work

The algorithm used by the Google search engine, refers to the internal processes that Google uses to rank content. This is to take into account a number of factors when specifying a device, such as the relevance and quality of content to a particular search query.

But how the Google search algorithm works no one has ever known for sure and in detail. Google's algorithm is a closely guarded business secret. Disclosing the secret is considered to greatly reduce the selling value of the company.

Especially if the algorithm is published. Then anyone will be able to exploit it and manage the system for the benefit of each party. This is said to have an impact on search result that Semrush report. This, Google is undoubtedly a search engine with a bad climate for it's users.

What risk follow ?

So many digital professions like SEO often speculate how the Google algorithm system works, and what to do to improve Search Engine Result Page (SERP). Basically the algorithm can read user habits.

For example if a person from the United States searches on Google for the keyword 'movies result of the day', they are more likely to see American Movie result.

How ever if that keyword is searched in the UK, it will most likely see Movie latest. Algorithm can also identify pattern and preferences based on provirus searches, and provide appropriates result.

In addition the algorithm can also take into account the preferences of searchers, especially if they are surfing the web while logged into their Google account. For example if the algorithm know the user is interested in music and when the user searches for the keyword ' events around me'. The algorithm will automatically prioritize music concerts for you.

The algorithm used by Google is dynamic and is always searched to ensure that the algorithm is readable and useful for various parties. But Google also usually undergoes larger updates in order to significantly impact users.

The risk of relying on alogrithns ?

Meta, the company formerly known as Facebook, has previously come under scrutiny for changing its algorithm, which it accused of helping push more negative content on the social network.

There are life-changing consequences of algorithms, especially in the hands of the police. We know, for example, that several black men have been arrested for using facial recognition systems.

Often there is little basic explanation from technology companies about how their algorithm systems work, and what algorithms are used for.

Tech experts and tech lawmakers say that those who built the system also don't know what the company's conclusion is using the algorithm.

That's the reason why algorithms are often referred to as 'black boxes'.
"Computer scientists, data scientists, at their current stage they seem like wizards to a lot of people because we don't understand what they're doing," Gilliard said. "And we think they always do, and that's not always the case."

Currently the United States is known to have no federal rules on how companies can use algorithms in general, or take advantage of AI.

But the US Congress is currently considering legislation dubbed the Filter Bubble Transparency Act, which would force major Internet companies such as Google, Meta, TikTok and others to "give users a reason to engage with the platform without being manipulated by user-specific data algorithms".

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