The Ethics of AI and Machine Learning

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Over the years, one of the most beautiful things we have noticed that have been able to transformed the world of technology around is the new innovation that keeps coming up daily and redefining the world we live in. You will agree with me that years ago, we didn't have this dispensation of Artificial Intelligence and Machine Learning. Both Al and Ml have been able to change industries all across the world around ranging from the financial sector, educational sector and even healthcare.

There have been massive opportunities that AI and Machine Learning has been able to offer in those industries I mentioned earlier. But even with those opportunities that comes with those two technology advancements, it has bring a lot of challenges and raises a lot of questions that needs to be answered as they are bringing concern day by day. You will agree with me that daily, both Al and ML is involving in almost our daily life.

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Don't get me wrong, those innovations are good but also if not carefully balanced, they are raising harm and causing some ethical issues. Over the years, Al and ML have been able to transformed and offer a new high level of efficiency, accuracy and the productivity that we are not used to. Examples like the innovation of Chat-GPT, AI photo, AI video, AI article Writer, ML processors and many more. Talking about the impact Al specifically is offering to the health sector, more diagnosis of disease has been more efficient and that is thanks to AL, it has also helped to improve the standard of patient treatments.

ML specifically in financial world have also been able to offer it's impact and also increase productivity. With Machine Learning processing, you are able to even detect fraud and even help to reduce the risk that comes in the financial space. AI is not also left out in the educational sector as it has helped to improve the learning experience of students much more than years ago. Writing my final year project this year gives me this testament that truly, AI is changing the world around.

Talking about the Ethical Issues and concern rising up in the AI and ML, I will say it is the aspect of the privacy of data. As the nature and design of AI, it depends on huge data to be able to function effectively as expected. Even though those data approach can help to solve complex issues and problems, but I also believed that it is raising massive concern on how safe and secure the individual datas are and how are those data used, does it goes against the privacy of the individual?.

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It is a massive concern but I believe it can actually be addressed if government can be commited to bring up policy for organisations to embrace in order to protect the privacy of data of individuals. This can give the accountability most especially when it goes wrong and offer transparency in the aspect of the data usage. I also believe that the accountability and the transparency of Al and ML is what to be looked into. Take for example, if any costly mistakes are made by Al, it is actually so difficult to hold someone responsible because everything is automated.

Even though there have been so much debate about this whether it is true or not. But I believe that even with the benefits both Al and ML offer in the financial market and the labour market, it is also leading to increased in job displacement. Both Al and ML are standing in replacement of the jobs that should be handled by humans thereby reducing the employment opportunities more severally. This is causing massive job losses in the educational sector, financial sector, health sector, academic sector and much more. Don't get me wrong, they are able to create jobs for people but at the same time can lead to job creation but the concern is, the job opportunities both Al and ML are offering might be less than the job losses it is causing in the labour market.

At the end of the day, there needs to be adequate balancing between both innovation to give utmost result. As both can offer tremendous opportunities in the financial world but at the same time can leads to other concerns and challenges that comes with it. But that does not mean those two cannot be balanced adequately at the end of the day.

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