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              <text>AIoT concepts and integration: Exploring customer interaction, ethics, policy, and privacy</text>
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              <text>Integrating AIoT technologies provide businesses with increased productivity, cost savings, data-driven insights, and enhanced consumer interactions. Nevertheless, difficulties include data privacy, ethics, regulatory compliance, and technical complexities. The recommendations include transparent practices, accountability, bias mitigation, data minimization, informed consent, and ethical design. Policymakers must develop adaptable regulations, place a premium on privacy and security, and involve stakeholders. A user-centric approach and training in data ethics are essential. AIoT offers enormous potential but requires a delicate balance between innovation and responsibility, with ethics, privacy, and policy compliance at the forefront.  2024 by IGI Global. All rights reserved.</text>
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              <text>Artificial Intelligence of Things (AIoT) for Productivity and Organizational Transition, pp. 26-51.</text>
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              <text>&lt;a href="https://doi.org/10.4018/979-8-3693-0993-3.ch002" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.4018/979-8-3693-0993-3.ch002&lt;/a&gt;
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              <text>Singha R., Christ University, India; Singha S., Kristu Jayanti College (Autonomous), India</text>
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