Exploring The Future Of AI Ethics In Data Science

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How many times have you faced a website that asks for your email? Sometimes it asks you to accept cookies. Many people are skeptical of these activities. Because you allow the website to track your searches by accepting cookies or subscribing with your email ID. For example, you visit a healthcare website, and search for ‘consultancy for unwanted pregnancy’. You would like that healthcare brand to work ethically, and keep your searches/data confidential. However, data leakage is thought to be associated with AI-based data analysis tools. To take care of this, and other related aspects, AI ethics are important to consider. In this blog, you will know the future of AI ethics with respect to data science.

What Is AI And Data Science?

Artificial intelligence (AI) is a phenomenon to develop computer-based systems that can perform the activities which otherwise need humans. On the other hand, Data Science is a phenomenon to collect, clean, and evaluate the data. Afterwards, the step comes is to present the insights obtained in an easy to understand manner.

AI-Based Data Science

The incorporation of AI in data science is revolutionary. It allows the technology to serve many purposes for social well-being. It includes healthcare, marketing, business, and many more areas. An increase in power raises the level of responsibility as well, in a directly proportional manner. The applicability of AI in data science is not an exception.B

In today’s world, the use of the internet and/or AI-based technology is essential in most jobs, if not for all. This is generating data, and this data generation is going to increase further in the future. Since AI serves as a foundation for data science, AI ethics must be considered.

Major Aspects Related To AI Ethics

1. Transparency

It is crucial for society, especially consumers, to know the process of how a particular system works. For consumers, the extent of this information may be restricted to the parts that are directly related to affect the consumer. There are a few basic questions that are haunting people.

For example, Google is a brand of multi-million US dollars. Just imagine, if the owners of Google decide to part ways. It breaks Google, a company, into two parts. What would be done with the data that Google has already collected? Which partner will get what amount of data on what basis? Any of these questions, perhaps, would not be asked to the users. To whom these data actually belong.

2. Fairness

Fair treatment is an essential element of a good society. When AI-based Technology performs the data analysis, the aspect of fairness is scrutinized. There must not be any kind of biases.

However, we are not in the ideal world. There are incidences where society observed the biases. For example, a worldwide known, e-commerce platform designed an AI-based recruitment model. The developers considered the data of the last decade to build the same. That model was found to prefer AMABs over AFABs.

Similarly, the government of the US conducted facial recognition tests. World shocked by the results, as it was biased towards the white skinned population. The incidences of failure in the face recognition for dark skin in comparison to white skin were 5 to 10 times.

3. Privacy

This is one of the most important issues related to AI. Because people are afraid of the risk of their personal information becoming public. This includes health information and even biometrics.

For example, many social media applications that you use on your phone ask for access to your images and videos. This is one of the easiest examples to understand how companies can access your data.

4. Accountability

This is in discussion and will be more in the future. Because, if AI-based technology does not act in an appropriate manner who would be responsible?

For example: Just imagine, an AI-based, driverless car crashes into a group of 4 people who is going to be responsible for that accident?

5. Sustainability

The entire discussion has a common point that AI can pose a risk to something, can misbehave, or can be biased. However, one common noticeable point is that it is important. So, it is crucial to make it sustainable, and for that, AI Ethics are of significant importance.

Who Can Help To Implement AI Ethics?

AI ethics will make sure that the use of AI is free from any malpractice, transparent, safeguards privacy, and is sustainable. Thus, There would be a need for a diversified set of people/organizations to do this.

NGOs

NGOs can volunteer their help for the better implementation of AI ethics. If any kind of malpractice if they notice, they can shed some light on that. This will allow it to get better.

Private Firms

Private firms can help in a collaborative manner to keep things aligned. This is useful for small start-ups that do not feel self-sufficient and are stuck in a haywire situation.

Governments

Guidelines and policies seem to have various loopholes with each bit of advancement in technology. This is almost bound to happen, as it is not easy to foresee the magnitude of the possible advancements.

Thus, AI and ethics demand governments to have a close look at technological improvements in their territories. This will allow the governing bodies to amend the rules/laws and stop any possible Malpractice.

How Can You Contribute To The AI Ethics Implementations?

All this discussion certainly shows that data science is going to be a good career option in the future. To learn how to implement AI ethics in data science in the future, you have an outstanding option, i.e. a Post Graduate Program In Data Science Course.

For over 11 years, with 1200 courses in 35+ categories, Henry Harvin has been among the education providers. Henry Harvin offers a wide range of courses in the field of data science. The curriculum varies from course to course, however, there are a few features common for all courses.

• Access to Learning Management System (LMS) portal for 1 year.
• Live classes and provides the recording of those classes\
• Projects related to the topics covered regularly
• Internship to get real work environment exposure
• Certificate from Henry Harvin and National Skill Development Council (NSDC)
• 100% placement assistance
• Complementary soft skill masterclasses

Other Courses From Henry Harvin

• Advanced Certificate Program In Data Science
• Data Science Professional Course
• Data Science with Python Course

Conclusion

The field of data science is expanding with each second passing by. To use it to its full potential incorporation of AI (artificial intelligence) is inevitable. Then, here comes the different angles to look at AI and data science together. Since AI is the base of data analysis here, AI ethics are vital to take into account.

Indeed, It is important to consider all the fundamentals of AI ethics like transparency, fairness, privacy, accountability, and sustainability. This consideration must be there before the designing stage of the model starts. Various sectors in society can contribute to AI-related social well-being in the future.

Since it is growing, there will be a large number of opportunities in the future. If you want to be one of the contributors, Henry Harvin Courses are of significant importance to you. Contact Henry Harvin and enroll in the program that suits you.

Recommended Reads

• Data Science In Finance: Revolutionizing Investment Strategies
• What Is Data Ethics In Data Science?
• 7 Top Emerging Technologies In Data Science 
• What Is Data Science? Definition, Examples, Jobs, And More
• Data Science Vs Computer Science: Which One Is Better

FAQs

Q 1 – What is the role of government in AI ethics?

Ans – Governments frame policies, pass bills, and make sure that people abide by the same. Similarly, AI ethics need and will need government intervention to safeguard the privacy of people. There will be a need to maintain freedom of speech. Thus, a balanced approach will be crucial.

Q 2 – Are AI-based technologies biased?

Ans – One word answer would be, yes. The facial recognition system did not recognize the black skin. To find the truth behind this statement the US government conducted tests. The results shocked the world. The issues with face recognition for dark skin were 5-10 times more as compared to white skinned subjects. That is why AI and ethics must go hand in hand.

Q 3 – Can AI replace humans?

Ans – This is, perhaps, one of the most common questions, not just related to AI but in general. People have been trying to find the answer to this question since its beginning. I opine that the complete replacement of humans will not be there, however, shifts in the jobs will be. For example, digging at construction sites is still there, but the workers do not do it manually anymore. So, the task is there, a person is there to do it, but the way to do it is changed. Since the newer way is more efficient, the number of workers required for the task decreases too.

Q 4 – At what stage AI ethics should be considered?

Ans – The process related to any product starts from an idea. Then the process flows from designing to market to sales to feedback, and refinement. In between this broader flow, there are many sub-sections that exist too. In AI-based technology, AI ethics should be considered at an initial level, i.e. designing. The easiest way to do this is by choosing a diverse team of designers.

Q 5 – What is the future of data science?

Ans – Work, entertainment, knowledge, and even formal education need people to use the internet. This is generating an unbelievable amount of data. To process this data and get useful insights, data scientists work day and night. Since the usage of the internet will increase, data science is certainly going to flourish in the future. The internet is just one example.

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