Surveyed professionals show strong technical AI awareness but limited ethical and governance readiness¶
Claim · All claims
Evidence · 1 study · associationalr1·q2
Currency · newest study 2025 · not yet checked against its sources · not reviewed by a person · recheck by 2030: baselines and conditions change
Subclaims¶
Reading the evidence codes
q is the design tier, i the impact, n the sample, and the kind with its r
the rigour judged within that kind: what each code means.
This claim: no standardized effect is recorded in observations/ for it yet, so no benchmark reading is possible.
q2 i? Among 300 surveyed participants from diverse professional backgrounds, technical awareness of AI was strong while ethical and governance readiness was limited. → Md. Masudul Islam 2025
Evidence¶
Md. Masudul Islam 2025¶
Md. Masudul Islam, Mirza Niaz Morshed, Md. Shafiqul Islam. (2025). Artificial Intelligence Literacy and Sustainable Development: An Ethical Governance and Development Goals Framework. https://orcid.org/0000-0001-7643-5420 doi:10.1002/sd.71155
q2 · i? · associational · r1
Cross-sectional survey of 300 participants from diverse professional backgrounds within a national context, reported in the abstract as revealing "strong technical awareness but limited ethical and governance readiness" in public capacity to manage AI responsibly. No effect sizes or test statistics are printed in the available text.
"A survey of 300 participants from diverse professional backgrounds within a national context which reveals strong technical awareness but limited ethical and governance readiness"
Discussion¶
Related Claims¶
- Existing institutional AI literacy frameworks converge on a consumer model with no substantive treatment of training data politics or governance participation — related
- Universities' GenAI policies widely embrace core ethical and governance principles but often overlook inclusion, equity, and sustainability issues such as internet access, gender parity in AI, and environmental impact — related
- Ethical, financial, and infrastructural barriers significantly constrain the long-term sustainability of AI-driven educational transformation in higher education — related
- Academic integrity, professional development, and equity concerns about AI span all surveyed units, though interpreted differently — related
- AI outcomes in higher education are shaped by leadership capacity, infrastructure readiness, and governance structures rather than functioning independently — related
- Students rate ethical awareness and responsible use highest and academic integrity lowest, with responsibility for defending ethical appropriateness the lowest-rated item — related
- Students rate their ethical awareness of AI higher than instructors, while instructors report stronger willingness to experiment with AI tools and higher behavioural intention — related
- Professional staff show a pragmatically compressed GenAI profile with high ethical awareness and the widest span of create-level endorsement of any cohort — reports the opposite
- Awareness of GenAI governance and regulation remains limited, appearing in a small transitional cluster — related
- Teacher professional judgement is represented in AI ethics literature as an ethical and interpretive capacity central to responsible AI use, not a technical skill to be replaced — related
Page metadata
| Field | Value |
|---|---|
type |
claim |
id |
strong-technical-awareness-limited-ethical-governance-readiness |
title |
Surveyed professionals show strong technical AI awareness but limited ethical and governance readiness |
description |
Surveyed professionals show strong technical AI awareness but limited ethical and governance readiness |
status |
review |
evidence_strength |
weak |
newest_evidence |
2025 |
recheck_by |
2030 |
generated |
by process:wiki-ingest on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — md-masudul-islam-2025 |
Frontmatter is the page's machine-readable record — see the Schema & Guide.