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Journals / Turkish Journal of Engineering / 2025 / Volume: 9 Issue: 4

Protecting Privacy and Ethics in AI-driven Conversational Systems using Laplace Mechanism

Kavita Arora(Manav Rachna International Institute of Research and Studies)0000-0002-3389-3939
Neha Gupta(Manav Rachna International Institute of Research and Studies)0000-0003-0905-5457
Kamal Upreti(CHRIST(Deemed to be University))0000-0003-0665-530X
Rituraj Jain(Marwadi University)0000-0002-5532-1245
G V Radhakrishnan(Kalinga Institute of Industrial Technology)0000-0003-4046-0995
Pages
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Publication Date
2025-10-08
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

This work will look at the current state and potential threats in depth and demonstrate the implementation of differential privacy using the Laplace mechanism in the query output so that the document has no special meaning and does not distort the released results significantly.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:AI-powered analytics and conversational systems designed for data mining and other manipulative tasks raise concerns about who can access data and how to utilize it.
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Key Findings & Data:This data progression has brought forth significant ethical considerations concerning privacy and ethics.
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Conclusion & Impact:This work will look at the current state and potential threats in depth and demonstrate the implementation of differential privacy using the Laplace mechanism in the query output so that the document has no special meaning and does not distort the released results significantly.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Algorithms · Analytics · Artificial Intelligence

Abstract

AI-powered analytics and conversational systems designed for data mining and other manipulative tasks raise concerns about who can access data and how to utilize it. This data progression has brought forth significant ethical considerations concerning privacy and ethics. AI-powered conversational agents, such as chatbots and virtual assistants, collect and process vast amounts of personal data to enhance user experience and provide tailored responses. Many industries have been transformed by artificial intelligence (AI)-based analytics systems, and some have unthinkable analytical data in terms of better decision-making, highly personalized customer experiences, and improved operational efficiency. While conversational AI offers convenience for users, this technology is also associated with privacy and data protection threats. This research seeks to understand the ethical issues with AI-driven analytics, focusing on data privacy and ethics in verbal and written interactions. This work will look at the current state and potential threats in depth and demonstrate the implementation of differential privacy using the Laplace mechanism in the query output so that the document has no special meaning and does not distort the released results significantly.

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Cite This Article

Arora, K., Gupta, N., Upreti, K., Jain, R., Radhakrishnan, G. V. (2025). Protecting Privacy and Ethics in AI-driven Conversational Systems using Laplace Mechanism. Turkish Journal of Engineering, Volume: 9 Issue: 4. https://doi.org/10.31127/tuje.1690888

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