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                <text>Conference Papers</text>
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              <text>A Conceptual Framework for AI Governance in Public Administration - A Smart Governance Perspective</text>
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          <name>Subject</name>
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              <text>Artificial Intelligence; Ethics; Public Administration; Regulation Theory; Smart Governance</text>
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              <text>With the public governance lagging behind the fast evolving of AI in their attempts to yield sufficient governance, corresponding principles are necessary to be in par with this dynamic advancement. As AI becomes more pervasive and integrated into various domains, there is a growing need for AI governance models that can ensure that the development and deployment of AI systems align with ethical, legal, and social standards. There are some answers that literature puts forward to the question onthe way the government and public administration has to react to the huge concerns related to AI and usage of policies to avoid the emerging challenges. In this survey, AI problems and the prior AI regulation techniques are analyzed. In this research study, a governance model for AI is proposed by combining all the facets and also implements a new procedure for governing AI. This study will help the decision makers to make smart government a reality by using AI governance framework.   2023 IEEE.</text>
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          <name>Creator</name>
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              <text>Rajagopal M.; Sivasakthivel R.; Ramar G.; Mansurali A.; Karuppasamy S.K.</text>
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              <text>7th International Conference on I-SMAC (IoT in Social, Mobile, Analytics and Cloud), I-SMAC 2023 - Proceedings, pp. 488-495.</text>
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              <text>Institute of Electrical and Electronics Engineers Inc.</text>
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              <text>2023-01-01</text>
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              <text>&lt;a href="https://doi.org/10.1109/I-SMAC58438.2023.10290366" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.1109/I-SMAC58438.2023.10290366&lt;/a&gt;
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              <text>Restricted Access</text>
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              <text>ISBN: 979-835034148-5</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Rajagopal M., Christ (Deemed to Be University), Lean Operations and Systems, School of Business and Management, Bangalore, India; Sivasakthivel R., Christ (Deemed to Be University), School of Sciences, Department of Computer Science, Bangalore, India; Ramar G., Christ (Deemed to Be University), School of Sciences, Department of Computer Science, Bangalore, India; Mansurali A., Central University of Tamilnadu, Department of Commerce and Management, India; Karuppasamy S.K., Kalasalingam Academy of Research and Education, School of Computing, Department of Computer Science &amp;amp; Information Technology, Krishnankoil, India</text>
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