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@article{168270,
        author = {Sujith Jagannathan and Kartikey Koti},
        title = {Artificial Intelligence Solutions to Improve Social Entrepreneurship in Various Sector},
        journal = {International Journal of Innovative Research in Technology},
        year = {2024},
        volume = {11},
        number = {5},
        pages = {317-323},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=168270},
        abstract = {The integration of Artificial Intelligence (AI) in social entrepreneurship has the potential to address complex challenges and improve efficiency, scalability, and impact across various sectors such as healthcare, education, and environmental sustainability. This paper explores how AI technologies can be harnessed to support social enterprises by optimizing operations, enhancing decision-making, and personalizing services while preserving cultural and ethical values. Through a review of current literature and analysis of various sectors, this study identifies the key drivers of AI adoption in social entrepreneurship, highlights the challenges faced—such as data privacy concerns and algorithmic biases—and discusses ethical considerations related to AI implementation. The analysis reveals that AI, when thoughtfully integrated, can significantly enhance the efficacy of social enterprises by complementing human efforts, fostering innovation, and promoting sustainable growth. However, challenges such as high implementation costs and the risk of depersonalization in services must be addressed to ensure equitable outcomes. The paper concludes with recommendations for the ethical and effective use of AI in social enterprises, emphasizing the importance of balancing technological advancement with human values to foster long-term positive change.},
        keywords = {},
        month = {October},
        }