Mindfulness and self-efficacy in improving moral judgement under Artificial Intelligence (AI)

The contribution of mindfulness and self-efficacy in improving moral judgement under artificial intelligence (AI) governance is investigated in this work. Ensuring ethical technology use calls on leaders to combine technical developments with moral responsibility as artificial intelligence systems progressively affect important decision-making. Although mindfulness is becoming more and more popular in many spheres, its effects on difficult decisions in AI governance are yet little known. This paper looks at how self-efficacy, spiritual intelligence, and mindfulness support moral reasoning, openness, and responsibility in artificial intelligence governance. Using a secondary data analysis technique, policy studies, scientific literature, and AI ethics frameworks are analysed to find important themes in ethical consciousness, self-efficacy, and responsible AI management. The results imply that mindfulness improves attention in high-stakes decision-making, helps AI professionals clearly negotiate ethical conundrums, and stimulates innovation in handling ethical AI issues. Moreover, spiritual intelligence enhances integrity while self-efficacy helps people to boldly face moral dilemmas. Including these components into organisational training courses and AI ethics education would help to greatly increase ethical AI applications. Future studies aiming at developing globally flexible AI policy suggestions should investigate cross-cultural variations in mindfulness and self-efficacy.

Authors

Institutions

Publication Details

Journal
Journal of Advances and Scholarly Researches in Allied Education
Published
2025-03-01
DOI
https://doi.org/10.29070/d7ks7z44
Primary Topic
Mindfulness and Compassion Interventions
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Mindfulness and self-efficacy in improving moral judgement under Artificial Intelligence (AI)

Khalid Farooq, Shri Lal Raghudev Ram Singh
Journal of Advances and Scholarly Researches in Allied Education
Mindfulness and Compassion Interventions
article

Mindfulness and self-efficacy in improving moral judgement under Artificial Intelligence (AI)

Khalid Farooq, Shri Lal Raghudev Ram Singh
article en

Abstract

The contribution of mindfulness and self-efficacy in improving moral judgement under artificial intelligence (AI) governance is investigated in this work. Ensuring ethical technology use calls on leaders to combine technical developments with moral responsibility as artificial intelligence systems progressively affect important decision-making. Although mindfulness is becoming more and more popular in many spheres, its effects on difficult decisions in AI governance are yet little known. This paper looks at how self-efficacy, spiritual intelligence, and mindfulness support moral reasoning, openness, and responsibility in artificial intelligence governance. Using a secondary data analysis technique, policy studies, scientific literature, and AI ethics frameworks are analysed to find important themes in ethical consciousness, self-efficacy, and responsible AI management. The results imply that mindfulness improves attention in high-stakes decision-making, helps AI professionals clearly negotiate ethical conundrums, and stimulates innovation in handling ethical AI issues. Moreover, spiritual intelligence enhances integrity while self-efficacy helps people to boldly face moral dilemmas. Including these components into organisational training courses and AI ethics education would help to greatly increase ethical AI applications. Future studies aiming at developing globally flexible AI policy suggestions should investigate cross-cultural variations in mindfulness and self-efficacy.

Journal of Advances and Scholarly Researches in Allied EducationVol. 22(2)
University of Rajasthan (IN)
Openalex Percentile: Top 93%
Mindfulness and Compassion Interventions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.