International Research Journal of Engineering and Technology (IRJET) e-ISSN: 2395-0056 Volume: 11 Issue: 06 | Jun 2024
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p-ISSN: 2395-0072
Ethical Implications of Biases in AI and Machine Learning Algorithm Niev Sanghvi1 , Niel Sanghvi2 , Naman Sanghvi3 , Anish Porwal4 , Rigved Shirvalkar5 , Nellay Rawalh6 ------------------------------------------------------------------------***--------------------------------------------------------------------Abstract— This research paper explores the ethical implications of biases in artificial intelligence (AI) and machine learning systems. The proliferation of artificial intelligence and machine learning techniques into various aspects of today's society has raised concerns about the potential biases inherent in these systems. This research paper examines the impact of biases on decision-making processes, particularly in sensitive areas such as health care, criminal justice and finance. In addition, the root causes of biases in AI algorithms are explored and ethical guidelines and mitigation strategies are proposed to address these issues. By exploring the ethical implications of AI and machine learning biases, this article contributes to the ongoing debate about the responsible and fair adoption of these technologies in society.
intelligence is a challenging task. In the 1990s, the sole goal of artificial intelligence was to improve human circumstances. But will that be the only objective going forward? Research is focused on building robots or devices that resemble humans. This is a result of scientists' fascination with human intellect and their amazement at attempts to replicate it. The role that humans play will undoubtedly alter if machines begin performing tasks that currently need human labor. One day, researchers' efforts may pay off, and we'll find that robots and computers are doing our work while we stroll about.[1]
1.2 Significance of Machine Learning: The Financial industries are mastering the utilization of machine learning for their elevating growth and success rate in the market. American Express has embraced Machine learning in the detection of frauds and other digital threats. Credit Card companies are using Machine learning to access the information of the person needing a loan such as credit score, credit history, rent payment, etc. This information helps the companies prevent risk of losing money and also aids the consumer for his approval of loan unlike the old traditional methods for debt.
Key Words: AI, Machine Learning, Bias, Ethical Implications, Decision Making
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INTRODUCTION 1.1 Significance of Artificial Intelligence:
The scientific use of Artificial Intelligence by humans has made many astonishing discoveries and inventions at the present. It serves as the building block of Computer Science acquiring skills, industries, IT departments, healthcare, education, etc. Companies also use AI as an assistant to enhance user experience, smartphones are now built and designed with these concepts for more friendly experiences.AI also aids in doing repetitive tasks such as call service centers so that humans can centralize on other priorities, furthermore AI is also applied in Games by the developers to enhance the immersion of the game, and also the non-playable characters in the game are also under the influence of AI with this they are able to communicate and interact with the player according to the players response in game and also the players interaction with game.AI also assist in the Militaries by providing significant support in the battlefield, combat by its detection of intruders, drones cyber warfare etc. This helps the soldiers in any situation of combat, search or rescue operations.Finance, net banking and all other activities related to banks are handled by AI in Fincorp and other companies.The Industries utilize the aid of AI 24/7 for any financial aid, customer care, bank fraud, stock bond and also the predictive side of AI helps them prevent any future financial risk. Another significant use of AI is that it averts online frauds, scams etc., in addition it also reduces Human errors with its lightning error detection and fierce accuracy. Forecasting the trajectory of artificial
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The Pharmaceutical companies along with the healthcare industries are using Machine Learning for managing medical information, records etc. This helps the experts to discover new medicines, diseases and also predict and perform a perfect diagnosis. The new updated medical systems can now pull pertinent health information in a blink of an eye. Scientists and drug developers are able to produce drugs at a faster rate with the help of machine learning and other AI tools. The Retail and E-commerce industries are relying on the use of machine Learning. The analysis of machine learning when the consumer purchases an item from the company helps the consumer again come back for purchase and thus maintains customer retention rate and boosts the company’s sales. Visual search of the desired product plays a vital role in the sales part of a company, due to the ability of machine learning. A customer's product can be easily identified by the imagery and thus provide a more user friendly experience to the consumer. Machine learning also keeps a track of the new trends and behavior of people in the media and accordingly provides
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