ItemConference Paper

Prioritizing Risks in AI-Enabled EdTech Platforms: An Analytic Hierarchy Process Approach

Title
Prioritizing Risks in AI-Enabled EdTech Platforms: An Analytic Hierarchy Process Approach
Creator
Roy, Ankita Priti; Anand, Kerena; Elangovan, N.; Halaswamy, D.
Description
Artificial intelligence (AI) has revolutionized educational technology (EdTech) platforms, offering innovative tools and personalized learning experiences. However, the integration of AI into EdTech also introduces significant risks that must be addressed. This study aims to systematically prioritize and evaluate these risks using the Analytic Hierarchy Process (AHP), a structured multi-criteria decision-making tool. Key risks identified include data privacy and security concerns, algorithmic bias and fairness issues, technical reliability and compatibility challenges, personalization and overreliance on AI, accessibility and equity risks, ethical and privacy concerns, operational and financial risks, governance and regulatory compliance risks, and the black box problem of lack of transparency in AI decision-making processes. Through an extensive literature review and expert inputs, the study employs the AHP methodology to capture the diverse dimensions of risk and determine their relative importance. The findings highlight technical reliability and compatibility (27.43%), the black box problem (17.31%), ethical concerns (17.29%), and personalization and overreliance on AI (17.25%) as the top-ranked risks. By identifying critical risk areas, this research informs the establishment of effective risk management strategies, ensuring the responsible and sustainable adoption of AI in EdTech platforms. The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.
Source
Lecture Notes in Networks and Systems;Volume;5588 LNNS;pp.549-564
Date
01-01-2025
Publisher
Springer Science and Business Media Deutschland GmbH
Subject
Analytic Hierarchy Process (AHP); Artificial Intelligence (AI) EdTech platform; Multi-criteria decision-making (MCDM); Risk prioritization
Coverage
Roy A.P., School of Business and Management, Christ University, Bengaluru, India; Anand K., School of Business and Management, Christ University, Bengaluru, India; Elangovan N., School of Business and Management, Christ University, Bengaluru, India; Halaswamy D., School of Business and Management, Christ University, Bengaluru, India
Rights
Restricted Access; Hardcopy may be available in the library
Relation
ISSN: 23673370; ISBN: 978-981961917-7;
Format
online
Language
English
Type
Conference paper

Citation

Roy, Ankita Priti; Anand, Kerena; Elangovan, N.; Halaswamy, D., “Prioritizing Risks in AI-Enabled EdTech Platforms: An Analytic Hierarchy Process Approach,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 19, 2026, https://archives.christuniversity.in/items/show/25474.

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