A Brief Introduction to AI Ethics

Jagdeep Singh 22 Jun, 2022 • 6 min read

This article was published as a part of the Data Science Blogathon.

Introduction to AI Ethics

Artificial intelligence is becoming more and more prevalent in our increasingly interconnected world. From self-driving cars to automated customer service agents, AI is slowly but surely changing how we live and work. As AI becomes more and more sophisticated, the ethical implications of its use become increasingly complex. There are several key issues to consider regarding AI ethics, such as data privacy, algorithmic bias, and socio-economic inequality.

Data Privacy

One of the most controversial issues is how companies can manipulate our decision-making by feeding our data into the algorithms that power AI applications. By understanding our individual preferences and biases, these companies can control what we see and how we think, dictating what we do and how we live our lives. A result is a form of mind control that represents a grave threat to our autonomy and freedom.

What’s even more alarming is that we may not even be aware of how we’re being manipulated. As a result of this manipulation, we are increasingly becoming more and more isolated from the information that disagrees with our viewpoints. This happens because, through AI algorithms, technology platforms tailor-make our newsfeeds and search results to match our own beliefs and preferences. When we consume such filtered information, we get trapped in what is known as a “filter bubble.”


Data Privacy | AI

Filter Bubble

It is a cultural or ideological echo chamber where we only encounter information that reaffirms our existing beliefs.

As a result, our worldview can become skewed and one-sided. While there’s nothing inherently wrong with echo chambers, they can still lead to problems if we’re not careful. For example, we may close off on new ideas and perspectives, and we may also start to see dissenting opinions as threats instead of simply different points of view.

In a world where we are increasingly reliant on the internet for information, it’s essential to be aware of the echo chamber effect and take steps to break out of our bubbles from time to time. Otherwise, we risk surrendering ourselves to all-powerful machine intelligence that knows us better than we know ourselves.

Data Privacy  2| AI

In conclusion, the use of AI by technology platforms is only good when used to improve the overall user experience by providing users the content they may be interested in or helping users with similar interests find each other. The technology platforms should not use AI to invade user privacy.

Algorithmic Bias

Another critical area of concern for AI practitioners is algorithmic bias. This occurs when an AI system relies on data that is skewed in a way that favors certain groups over others. This happens because data sets used in the training process often contain human biases, which the AI system learns and replicates.

For example, a facial recognition system trained on a dataset of primarily white faces is more likely to misidentify people of color. This can have serious consequences, as AI systems are often used to make decisions about credit scores and job applications. Therefore, it is essential to be aware of the potential for bias in AI systems and take steps to avoid it.

While it is essential to strive for fairness in AI, eliminating 100% bias is often impossible. Instead, it is necessary to be aware of the potential for bias and take steps to minimize its impact. This may involve using diverse datasets, incorporating human judgment into the decision-making process, and monitoring the results of AI systems to identify and correct any errors.

Adversarial Debiasing

It is also a technique used to train machine learning models to reduce the amount of bias they contain. The idea is to add noise to the data set used to train the model to force the model to learn from a more diverse range of examples. This technique successfully reduces bias in several different settings, including facial recognition and natural language processing.

Adversarial Debiasing| AI

We can help ensure that AI systems are as fair and unbiased as possible by taking these measures.

Socioeconomic Inequality

Economic Inequality

  • While AI getting smarter every day is great news for businesses and consumers alike, it could also spell trouble for those already struggling to keep up with the rapid pace of change. As AI gets better at doing things that humans currently do, it will only widen the gap between the haves and the have-nots. We’re already seeing this happen in the job market, where automated technologies displace workers in various industries.
  • As AI continues to evolve, it will keep becoming more and more efficient at doing the jobs that currently require human expertise. This could lead to even greater levels of economic inequality, as well-educated workers reap the benefits of automation while those without specialized skills are left behind.

Social Inequality

  • And it’s not just economic inequality that we have to worry about. As AI improves understanding and interaction with humans, it could also aggravate social inequality by giving privileged groups greater access to opportunities and resources.
  • For example, a recent study found that Google’s ad delivery algorithms showed ads for high-paying jobs significantly more to the male users than the female users. This kind of discrimination can dramatically impact people’s ability to get ahead. If AI algorithms continue to be used to make decisions about jobs and loans, they could reinforce or even widen existing social inequalities.

All in all, AI has the potential to worsen the problem of inequality in our society. The impact of AI on both social and economic inequality will not only be significant but far-reaching.

Though there are many potential benefits to be gained from AI, we must be aware of these potential pitfalls and take steps to mitigate them. With the right policies in place, we can harness the power of AI to create a more just and prosperous society for all.

Social Inequality

Ethical Use of Personal User Data

We need to hold the technology platforms accountable for how they use our personal data. Please keep in mind that it is not only our responsibility, but also our privilege to protect our data. We do need to be more aware of what information we share and with whom. It’s time to start thinking about data ownership and privacy in a new way, and demand that our technology platforms respect our data privacy interests. Are you concerned about how your personal data is being used by technology companies? Let me know in the comments below.

Removal of Algorithmic Bias

It is important for AI practitioners to make their algorithms fair and unbiased. This will help prevent any unforeseen consequences that may arise from the use of biased algorithms. Furthermore, by removing algorithmic bias, we can move one step closer towards creating a more inclusive society. Have you tried using AI/ML techniques to remove bias in your data? How was your experience in doing so? Let me know in the comments below.

Policies for handling Social and Economic Inequality

By implementing the right kind of policies, governments can ensure that everyone benefits from the growth of AI. With thoughtful planning and execution, it can be made sure that no social or economic class gets left behind as AI transforms our lives. If we can navigate these challenges successfully, then AI has the potential to enhance our lives in countless ways.


The rapid development of AI brings with it several ethical concerns. However, we must remain vigilant in protecting our fundamental rights and liberties. We must ensure that AI is not used to discriminate against vulnerable groups or to infringe on our privacy. We also need to be careful that AI does not become a tool for those in power to control and manipulate the masses.

But while there are risks, I believe that the potential benefits of AI are too great to ignore. We must find a way to navigate the dangers and use AI to benefit all people and not just a select few. We need to be proactive in ensuring that the advancements in AI don’t have unforeseen consequences for society.

History has shown that when machines are given more power, they can be used for good or evil. The future of AI is uncertain, but it will be up to us as a society to ensure the rise of AI is not detrimental to our community and culture significant but instead beneficial in ways that help us all to gain from the innovations together!

What are your thoughts on this? Are we facing an inevitable future where algorithms rule over us? Or is there still time for course correction? Let me know what you think in the comments below!

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Jagdeep Singh 22 Jun 2022

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