Develop New Techniques for Ensuring Fairness in Artificial Intelligence and ML Models to Promote Ethical and Unbiased Decision-Making

Mohanarajesh Kommineni

Vol 10, Special Issue 2024

Page Number: 47 - 59

Abstract:

The technology known as artificial intelligence (AI) has become a game-changer, capable of completely altering a number of facets of civilization. But as AI grows more and more common, significant ethical questions arise that need to be answered. An overview of the main ethical issues surrounding artificial intelligence (AI) is given in this abstract, emphasizing the necessity of developing, implementing, and governing AI systems responsibly. First, fairness, accountability, and openness are the main ethical concerns surrounding AI. Inadvertent bias perpetuation in training data by AI systems can result in unfair hiring, lending, and criminal justice outcomes. Careful design, objective data gathering, and ongoing monitoring to minimize and correct any potential biases are necessary to ensure fairness in AI systems. Second, two essential components of ethical AI are explainability and transparency. Understanding the reasoning behind the decisions made by some AI models is difficult due to their lack of interpretability, especially in high-stakes industries like healthcare and driverless cars. Establishing systems to offer defenses and explanations for AI results is crucial to fostering responsibility and confidence. Thirdly, data security and privacy are issues that AI brings up. AI systems frequently rely on enormous volumes of personal data, therefore their use needs to respect people's autonomy and adhere to privacy laws. To solve these ethical issues, it is essential to protect data from illegal access, obtain informed consent, and put strong security measures in place. Fourth, it's important to closely consider how AI will affect employment and socioeconomic inequality. AI has the potential to increase productivity and open up new opportunities, but it also has the potential to worsen already-existing inequality and cause job displacement. In order to mitigate the possible negative effects, ethical concerns call for developing inclusive economic policies, supporting retraining programs, and making sure that impacted workers have a fair transition. Furthermore, making ethical decisions is necessary when using AI in delicate fields like criminal justice, healthcare, and warfare. Artificial intelligence need to supplement human talents rather than supplant human discernment, and it ought to consistently take moral and ethical factors into account when making consequential decisions.

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