AI and Telecommunication Privacy
| Pages | 86-107 |
| Date | 01 October 2025 |
| Published date | 01 October 2025 |
| Author | Sheikh Inam Ul Mansoor |
86
AI and Telecommunication Privacy: Rethinking Legal Protections against... (p. 86-107)
MANSOOR, S. I. U.
AI and Telecom munication Privacy: Rethinki ng Legal Protections against Algorithmic
Surveillance
.
The Law, Sta te and Telecommunicatio ns Review
, v. 17, no. 2, p. 86-107, October 2025.
AI and Telecommunication Privacy: Rethinking
Legal Protections against Algorithmic
Surveillance
Submitted
: 2 Februar y 2025
Sheikh Inam Ul Mansoor*
https://orcid.org/0000-0001-8636-4769
DOI: https://doi.org/10.26512/lstr.v17i2.57121
Reviewed
: 20 April 2 025
Revised
: 5 July 2025
Accepted
: 8 August 2025
Article submitted to peer blind rev iew
Licensed under a Creative Common s Attribution 4.0 International
Abstract
[Purpose]
This paper exp lores how artificial intell igence (AI) can aid in the in tegration of
telecommunica tion networks, and how it will affec t privacy. It talks about the threats that
AI brings to c onsumer p rivacy, such as algorithm ic monitor s that are challenging a nd
explain wha t does and doesn’t seem to be working to protect consumer privacy in present
legislation. The purpose is to study the integration of AI and telecom munication data
privacy to fin d that there is a need to have new set of law s and weighty pri vacy protection
in this age of digital transf ormation.
[Methodology/ap proach/design]
The paper critical ly analyses historical interactions of
AI with telecommunication privacy, discus ses how existin g policies work and what gaps
exist in current legislation. Examining the validity of such risks in telecommunication
networks when it comes to privacy violation, data exploitation, and the n eed for clear
regulations of the system. M oreover, the me thodology proposes an interdisci plinary
approach comprised of legal, technological, and ethical stakeholders to handle the problems
in question.
[Findings]
And finally, the pa per conclu des that the existing legal frameworks cannot
secure privacy of consu mer in the framework of AI -based tele communication systems.
That is why it emphasizes the nee d for international privacy standards, independent audits
and robust national regulat ory bodies. It calls for new legal guidelines that would guarantee
transparency, responsibility and consum er consent as well as foster coll aboration among
the different stakeholders to improve priv acy protection and data c ontrol in AI syste ms.
[Practical implications]
The p aper parallels strong privacy protection s and eth ical
practices of AI in telecommunication systems. It calls for new lega l and internatio nal
standards of privacy. The int ention behind these recommendation s is to main tain the
privacy and co ntrol of the consumer’ s data within AI powered systems.
*
Assistant Prof essor of Law, Symbiosis Law School, Hyderabad Campu s, Symbiosis
International ( Deemed University), Pun e, India. E-mail: she ikh.mansoor@slsh.edu.in .
AI and Telecommunication Privacy: Rethinking Legal Protections against Algorithmic... (p. 86-107) 87
MANSOOR, S. I. U.
AI and Telecom munication Privacy: Rethinki ng Legal Protections against Algorithmic
Surveillance
.
The Law, Sta te and Telecommunicatio ns Review
, v. 17, no. 2, p. 86-107, October 2025.
[Originality/value ]
Finally, this research uniqu ely c ombines legal, technological, and
ethical aspects of litigation involv ing AI and privacy in telecommu nications all into one. It
draws the gap s in the existing laws and pro vides innovative solutions fo r privacy
protection. The mode rn concern addressed b y the paper is privacy, a nd the value of the
paper is in the interdisciplinary approach it uses to address that spe cific concern.
Keywords
: Artificial Intelligen ce, Surveillance, Ethics, Privacy, Techn ology, Society,
Data.
INTRODUCTION
A technological breakthrough emerged wh en artificial intelligence fused
with telecommunications networks to reengineer both network operations and
service deliv ery. Telecommunications face two divergent transformations from
AI adoption which brings operational improvements while creating substantial
privacy and surveillance challenges and data protection dilemmas (Khan, 2023).
The exponential growth of AI-driven innovation across network automated
service along with predictive maintenance coincides with profoun d concerns
about user privacy rights because these systems collect massive user data for
analytical purposes (Secundo et al., 2024). Telecommunication expands through
technological evolution which challenges outdated legal systems because these
frameworks lack sufficient skills to manage complex artificial intelligence
development in telecommunications (Balmer et al., 2020 ). The initial
telecommunications network design featured simple connections which have
evolved into complex information sharing systems worldwide. The
implementation of AI technology optimizes network control procedures while
producing better services an d superior customer interactions as it acce lerates
telecommunications growth (Li et al., 2020). Machine learning algorithms
together with natural language processing provide telecommunication systems
with predictive abilities and personalized service while carrying out routine
human tasks with automated systems (Priyadarshi et al., 2023) . Due to its
capabilities AI lets networks develop autonomous systems called "self-optimizing
networks" (SON) that detect problems independently and execute solutions
instantly. Mobile telecommunications adopt artificial intelligence to monitor user
datasets for application optimization and consumer behavior prediction (Mao et
al., 2022).
The undeniable advantages of AI in telecommunications carry serious
privacy risks for private information distribution among users.
Telecommunications networks naturally deal with a large quantity of personal and
sensitive information encompassing call history alongside the way people use the
internet and their locations and their communications' contents (Agubor et al.,
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