Synthetic Intelligence vs. Artificial Intelligence: Conceptual, Legal, and Ethical Divergences

Publication Details

Publication Date

10/08/2026

Volume / Issue

Vol 1, Issue 3 (2026)

Article No.

003

Journal

British Journal of Contemporary Research

DOI

https://doi.org/10.67693/BJCR-PN8Z96MI

Received

05 Jul 2026

Views

50

Downloads

16

Abstract

Artificial Intelligence (AI) can be described as an artificially designed system that acts like a technological model of the workings of the human mind, involving thought, intuition and judgement. Synthetic Intelligence can be seen as autonomous model that is capable of generating original ideas and actions, and not copying or imitating human ideas. We need to look at it from three angles: the technology, philosophical questions and legal challenges to understand the difference between Artificial Intelligence and Synthetic Intelligence. Human beings need to understand how Artificial Intelligence and Synthetic Intelligence are different from each other. This article looks at the effects of both ideas on intellectual property, liability, and governance structures. Artificial Intelligence remains fundamentally constrained within the epistemic, creative and normative boundaries established by human designers and operators. Synthetic Intelligence, however, is characterized by self-directed cognition, autonomous control and the capacity for emergent, creative evolution unmoored from human antecedents. The emergence of Synthetic Intelligence would necessitate substantial reconfiguration of extant legal doctrines-including copyrights, patent, tort and corporate liability frameworks- and would compel novel ethical and jurisprudential theories commensurate with systems possessing genuine autonomy and self-originating intentionality. This article argues that existing legal constructs are ill-suited to address Synthetical Intelligence and proposes a doctrinal framework for reallocating authorship, ownership and accountability in the Synthetical Intelligence era.

License

This article is published under the Creative Commons Attribution 4.0 International License . Free to read, share, and adapt with attribution.