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International Journal of Research and Innovation in Social Science (IJRISS)

Assessing Sentience in Artificial Intelligence: A Structured Literature Review of Theories, Indicators, and Evaluation Frameworks (2020–2025)

byWynand Goosen

Published January 14, 2026  •  Vol. 9, Issue 12, pp. 3197–3210Open Access
DOI: 10.47772/IJRISS.2025.91200245

Abstract

Artificial Intelligence (AI) has evolved from a specialised field of computing into a vital part of how we generate knowledge, make decisions, and address ethical issues (OpenAI 2025). As these developments occur rapidly, progress in self-reflective and adaptive AI has amplified debates about whether machines can have consciousness in business, science, and academia. To provide clarity on navigating this complex area, this review looks at ways to detect signs of consciousness in artificial systems. Specifically, from 2020 to 2025, three primary trends have influenced research on artificial consciousness, establishing the context for this review.

Keywords: Artificial Consciousness; AI Sentience; Structured Literature Review

JournalInternational Journal of Research and Innovation in Social Science (IJRISS)
ISSN2454-6186
Volume / IssueVolume 9, Issue 12
Pages3197–3210
Publication dateJanuary 14, 2026
DOI10.47772/IJRISS.2025.91200245
PublisherRSIS International
LicenseOpen Access

How to cite this article

Wynand Goosen (2026). Assessing Sentience in Artificial Intelligence: A Structured Literature Review of Theories, Indicators, and Evaluation Frameworks (2020–2025). International Journal of Research and Innovation in Social Science (IJRISS), 9(12), 3197-3210. https://doi.org/10.47772/IJRISS.2025.91200245

BibTeX

@article{Wynand2026,
  title   = {Assessing Sentience in Artificial Intelligence: A Structured Literature Review of Theories, Indicators, and Evaluation Frameworks (2020–2025)},
  author  = {Wynand Goosen},
  journal = {International Journal of Research and Innovation in Social Science (IJRISS)},
  volume  = {9},
  number  = {12},
  pages   = {3197--3210},
  year    = {2026},
  doi     = {10.47772/IJRISS.2025.91200245},
  publisher = {RSIS International}
}