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@article{158117,
        author = {Dr. Mahesh Sharma and Dr. Satpal Arora},
        title = {GOVERNANCE OF ARTIFICIAL INTELLIGENCE FOR BUSINESS},
        journal = {International Journal of Innovative Research in Technology},
        year = {},
        volume = {9},
        number = {8},
        pages = {797-806},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=158117},
        abstract = {Although the governance of artificial intelligence (AI) is extensively debated on a philosophical, sociological, and legislative level, few publications specifically target businesses. By drawing a conceptual framework from the literature, we fill this gap. We break down "AI governance" along the axes of who, what, and how "is governed" into the governance of data, machine learning models, and AI systems. This breakdown makes it possible for current governance arrangements to evolve. Measuring the value of data and developing new AI governance roles are fresh, business-specific issues.},
        keywords = {Machine Learning, Artificial Intelligence, IT Governance, Governance Framework, Data Governance.},
        month = {},
        }