TRV-2026-1208Certified recordPeer-reviewed

BALANCING CREATIVITY AND TECHNOLOGY: THE USE OF AI IN DESIGN EDUCATION

Artificial Intelligence is revolutionizing the creative process of design by improving the quality of work, operational efficiency, and overall productivity. However, AI integration into the art and design domain faces many challenges and concerns, including the ethical issues of originality, genuineness, and intellectual property, the risk of designers’ overdependence on AI, and declining creative skills. This study applied a cross-sectional descriptive design. Adopting a mixed-methods methodology, both quantit…

Education · The Trace — both readings · certified 2026-09-28 · v1 · article view · machine-readable

Current reading — gain

Among surveyed university design students in Pakistan, AI design tools were widely adopted for idea generation and were perceived by a large majority as enhancing originality and productivity.

Current reading — problem

In the same student sample, AI was also perceived as hindering originality, with concerns about over-reliance, declining critical thinking, and reduced authenticity and credibility.

What this doesn’t fix

Findings are bounded by a cross-sectional survey of 94 students limited to university-level art and design programs in Pakistan, limiting generalizability and causal inference.

Evidence

Reader signal

How should this claim be treated?

Cite this record

Truvace Impact Record TRV-2026-1208, v1: “BALANCING CREATIVITY AND TECHNOLOGY: THE USE OF AI IN DESIGN EDUCATION.” Truvace, 2026-09-28. /record/TRV-2026-1208 (accessed at citation time). sha256 3a9c3ec929d46c01…

Calibration history

Every change to this record since certification, in the open. None yet — the reading has held since it entered the record.

  1. Certifiedv13a9c3ec929d4…

    Certified into the record

Verify this record
How to verify without trusting this page

Fetch the canonical text of any version from /api/record/TRV-2026-1208 and hash it yourself — for example shasum -a 256 on the saved canonical field. The result must equal content_hash, and each version’s text ends with prev:followed by the prior version’s hash (version 1 chains to 64 zeros). If a single character of any version had been altered since certification, the chain would not reproduce.