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Can AI Audits Eliminate Algorithmic Biases?

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Can AI Audits Eliminate Algorithmic Biases?

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Algorithm bias may develop when AI is used to tackle global problems, resulting in unanticipated, wrong, and damaging outcomes.

AI bias is a problem that is becoming more prevalent as software becomes more integrated into our daily lives.

AI can sometimes manifest the same prejudices as humans, and it could be even worse in some circumstances. An aberration in the output of machine learning algorithms could be due to biases in the training data or prejudiced assumptions made during the algorithm building phase. Our society’s beliefs and standards have blind spots or certain expectations in our thinking. As a result, algorithmic AI bias is heavily influenced by societal bias.

How Does AI Bias Originate?

People are shaped by their upbringing, experiences, and society. They internalize certain beliefs about the world around them. It’s the same with AI. It doesn’t exist in a vacuum; it’s made up of algorithms created and refined by the same individuals. It tends to “think” or run algorithms in the same manner, it’s been taught. Whether conscious or unconscious, human prejudice lurking in AI algorithms throughout their development is the root cause of AI bias. Human biases and prejudices are adopted and scaled by AI solutions.

Auditing in Artificial Intelligence

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All the information and data collected by the AI algorithm are accessed and examined to see how these algorithms have performed, their outputs, and how they have computed things. In other words, what problem are they trying to solve, and what data do they have? Audits with access to an algorithm’s code can assess whether the algorithm’s training data is biased and create hypothetical scenarios to examine the impact on different populations.

Can Auditing Eliminate Algorithmic Bias?

The algorithms and data may appear neutral, yet their output reinforces societal biases. Artificial intelligence (AI) and machine learning have advanced rapidly, resulting in strong algorithms that have the potential to enhance people’s lives on a massive scale. Algorithms, particularly machine learning algorithms, are increasingly being used to supplement or replace human decision-making in ways that impact people’s lives, interests, opportunities, and rights. The ethical impact of AI has been extensively studied in recent years, with public crises involving lack of transparency, data exploitation and the proliferation of systemic racism. One of the few examples to explain AI bias would be Twitter’s photo cropping algorithm.

The quality of an AI system’s input data determines how good it is. You can design an AI system that makes unbiased data-driven decisions if you can clean your training dataset of conscious and unconscious assumptions about race, gender, and other ideological ideas. However, there are innumerable human biases. As a result, having a perfectly unbiased human mind and an AI system may not be attainable.

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AI can assist us in avoiding discrimination in hiring, operations, customer service, and the more extensive business and social networks — and it makes excellent commercial sense to do so. Artificial intelligence can help us avoid harmful human bias – both intentional and unintentional. It is now evident that AI algorithms integrated into digital and social technologies can encode societal prejudices, speed the spread of rumors and disinformation, amplify echo chambers of public opinion, hijack our attention and even affect our mental welfare if left uncontrolled. AI bias can be avoided to a certain degree, but only if we educate it to play fair and continuously challenge the findings.    

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TECHNOLOGY

The Best Programming Languages for Web Services and Their Advantages In 2022

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The world is becoming more digital, and the need to learn digital skills is higher now than ever before. One such digital skill that has gained more prominence since the last decade is programming languages. We now live in a world revolving around technology, and basic knowledge of programming languages is becoming a necessity for many career options and job profiles. 

There are many reasons to learn about the different programming languages and their advantages, and web services or web development is a big part of it. Web development is an ever-growing field and has plenty of opportunities. To grab these opportunities in web development, you need to equip yourself with the correct programming language.  However, the plethora of language options available to you can be confusing, especially if you are a beginner. 

Javascript

This high-level language, often used by most websites as a client-side language, is a core technology in the World Wide Web. Initially, it was used only for developing web browsers; however, they now have new usages in non-web browser applications and server-side website deployments. 

Since its creation in 1995, it has evolved into one of the world’s most popular programming languages and is highly sought after by various organizations. 

Pros

  • Learning and implementing javascript is easy.
  • It is very popular and is everywhere on the net.
  • It can run immediately in the client-side browser.
  • It doesn’t demand much from the website server. 

Cons

  • Different browsers may interpret it differently sometimes, so writing cross-browser code is difficult.

Python

This is a powerful programming language and is one of the best used in web development for multiple purposes. Furthermore, this open-source language is very easy to learn and deploy and is among the best languages for learning web development since it develops scalable applications and web pages. 

Python has a unique selling point: the simple, productive, and elegant design of this language. It is the best for backend development with first-class integration with other programming languages such as C++ and C. 

Python has numerous usages, especially in developing web and desktop applications and GUI-based applications such as machine learning, data science, and network servers. It also offers multiple toolsets for mathematics, statistics, and computational science with numerous libraries and frameworks like NumPy, Pandas, SciPy, and Scikit-Learn. 

Pros 

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  • It increases the productivity of programmers and developers. 
  • It supports several systems and platforms.
  • It follows object-oriented programming. 
  • It ensures easy scalability, even with complex web applications.
  • Offers numerous support libraries. 
  • It focuses on code readability. 

Cons

  • The database is primitive and slightly underdeveloped.
  • Not ideal for mobile computing.

HTML

HTML stands for HyperText Markup Language. This language is the foundation upon which web development is built, and every developer must familiarize themselves with it. It is a very popular language and is currently one of the most used programming languages. While it cannot be described as a full-fledged programming language, HTML is the standard language for creating web pages. 

HTML gives web pages structure and ensures that images and texts are correctly formatted. In addition, it is a fast language and helps developers design web pages much quickly because it uses templates. 

Pros 

  • Learning and implementing is easy. 
  • It is free and accessible.
  • All browsers support it. 

Cons

  • This language is static, so creating dynamic pages is impossible. 
  • It requires lots of code to develop a simple webpage. 

PHP

This is an ideal language for web development. Even though many other programming languages like python and javascript are also suitable for web development, the need for professional developers who work with PHP remains very high in the market. It is a general-purpose language that can be used for developing server-side applications. In addition, PHP is dynamic and maintained by open-source platforms working across Windows. UNIX, and Mac systems. 

PHP is highly productive in web development and is used vastly within this industry to build and deploy applications quickly. 

Pros

  • It has plenty of frameworks to offer. 
  • It can be used to develop web pages with ease. 
  • It supports object-oriented and functional programming paradigms.
  • It also supports multiple automation tools used for testing and deploying applications.
  • It uses the Xdebug extension, which allows for great debugging. 
  • It has a large ecosystem with incredible community support. 

Cons 

  • It doesn’t have features for handling errors and security. 
  • It is slower to build a web page using this language alone than other programming languages. 

CSS

CSS is similar to HTML because it is also a basic language that all developers should know. CSS is the acronym for Cascading Style Sheets. This language is mainly used along with HTML to govern a web page’s style. Combining CSS and HTML languages is often the mother of programming languages. For example, CSS determines the color, positions, and size of elements within a webpage. 

CSS uses a cascading style, which means an applied style cascades down from the parent to the child throughout the web page. This cascading nature allows it to uphold consistency. 

Pro

  • It is a beginner-friendly language that’s easy to learn.
  • CSS supports responsive website design. 
  • It simplified web page customization
  • It increases the webpage loading speed. 

Cons 

  • It is possible to suffer cross-browser issues.
  • It has multiple levels, such as CSS2 and CSS3, which may lead to confusion.

C++

This middle-level programming language was created in 1980 as an Objective C extension. C++ language is simple and easy to learn for beginners, and it has lots of usefulness. It offers everything that Objective C offers and more. It supports features such as object-oriented programming, except type checking and handling. 

C++ supports OOP concepts such as encapsulation, inheritance, and abstraction. The compiling mechanism is quick and efficient, and it has a massive standard library. 

Pros 

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  • It is highly scalable. 
  • It is portable and easy to handle.
  • It has extensive community support. 

Cons

  • Garbage collection is not automatic.
  • The pointers have associated complexities. 

Conclusion 

There are numerous options for programming languages to learn for web development in 2022. However, you could get spoiled for choice and miss your way if you’re a beginner and new to the web development scene. Therefore, this article discusses some of the best and most popular programming languages you can kick start your web service journey in 2022. 

Author Bio

Eun Rockwell is a professional journalist with extensive experience, four years. She also works as a freelancer and writes a lot of articles. In addition, she has had writing stints at My-assignment.help and Superiorpapers. Eliza is always focused on doing quality work to achieve her goals and objectives. In addition, Eliza is fascinated by creating original works that meet high standards. Feel free to connect with her by email. 

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