Ethics of AI: Discuss the Ethical implications of AI in decision-making,bias, and Fairness
Author Mr.Abhishek.S.Ghadigaonkar[1] V.K.K.Menon College,Bhandup(E)
Guide:Mrs.Vandana Chaurasia[2] Assistant Professor, V.K.K.Menon College,Bhandup(E)
Abstract :
Artificial Intelligence (AI) is increasingly used in critical decision-making across sectors such as healthcare, finance, criminal justice, and employment. While AI offers enhanced efficiency and objectivity, it also introduces significant ethical challenges—particularly regarding bias and fairness. These biases often arise from unrepresentative training data and opaque algorithmic design, leading to discriminatory outcomes that may reinforce social inequalities. This paper explores the ethical implications of AI-driven decisions, emphasizing the need for transparency, accountability, and fairness-aware development. Addressing these concerns requires a multidisciplinary approach involving technological, ethical, and societal perspectives to ensure AI systems are equitable, trustworthy, and aligned with human rights.
Keywords: Artificial Intelligence (AI)Ethical implications ,AI decision-making, Algorithmic bias, Fairness in AI, Data bias, Transparency ,Accountability ,Discrimination ,Social inequality,Bias detection ,Fairness-aware algorithms ,Human rights ,AI ethics, Inclusivity ,Trust in AI ,Responsible AI ,Bias mitigation ,Algorithmic fairness.
