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Human: The Final Decision-Maker in the Technological Era

  • Ka Chun Fung*
  • , Kwok Yip Cheung
  • , Chung Yee Lai
  • *Corresponding author for this work

Research output: Chapter in Book/Conference Proceeding/ReportBook Chapterpeer-review

Abstract

The rapid development of artificial intelligence in education (AIED) has led educators and students to integrate AI systems into academic activities. While these systems offer strong analytical and computational capabilities, there is a troubling trend of users relying on AI to complete tasks and make decisions for them. Originally intended to assist in making rational, evidence-based choices, the increasing substitution of human decision-making by AI poses significant risks and undermines the goal of fostering critical thinking and reflection in younger generation. This chapter reviews articles covering three main areas. The first section examines the integration of AI in teaching and learning, focusing on its pedagogical implications for evidence-based decision-making. This includes renovating assessment strategies to accurately reflect learners’ academic and soft skills without AI manipulation. The second section discusses the use of AI technologies by learners outside the educational context, highlighting their ultimate responsibility for the results. The third section explores how educators can leverage AI-generated insights beyond teaching to enhance the overall support provided to students, thereby improving their learning experiences. The chapter concludes with a summary of key finding and implications. The findings indicate that humans continue to serve as the ultimate decision-makers in the era of AI technology while AI systems should be positioned as supportive tools. The article aims to facilitate a systematic reflection on the emerging use of AI systems in various areas, calling for the responsible AI-facilitated education across the global community.

Original languageEnglish
Title of host publicationSignals and Communication Technology
EditorsStamatios Papadakis
Place of PublicationCham
PublisherSpringer Science and Business Media Deutschland GmbH
Pages199-229
Number of pages31
ISBN (Electronic)9783031968556
ISBN (Print)9783031968549, 9783031968570
DOIs
Publication statusPublished - 9 Nov 2025

Publication series

NameSignals and Communication Technology
VolumePart F1122
ISSN (Print)1860-4862
ISSN (Electronic)1860-4870

Bibliographical note

Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 4 - Quality Education
    SDG 4 Quality Education

Keywords

  • Assessment design
  • Ethical utilization
  • Evidence-based teaching and learning
  • Higher education
  • Pedagogy
  • Responsible AI application

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