Skip to content
#artificial intelligence Review Open access

Artificial Intelligence: Competencies for design in emerging creative environments

Dec 2026 · Journal of Technology and Innovation · 0 citations

TL;DR

The study aims to determine the competencies linked to the use of Artificial Intelligence in the training of designers, as well as to examine its impact on the professional environment.

Abstract

The study, titled From Artificial Intelligence: Competencies for Design in Emerging Creative Environments, aims to determine the competencies linked to the use of Artificial Intelligence in the training of designers, as well as to examine its impact on the professional environment. The advancement of AI has reconfigured not only the tools for design practice, but also the essential dynamics of the creative process. In emerging human-AI collaboration [HAIC] scenarios, these systems operate as cooperative agents and not merely as support tools. However, even though design students are progressively incorporating these technologies into their practice, a gap persists in the development of fundamental competencies for establishing effective interaction with these systems. Therefore, the need to strengthen disciplinary training through competencies that integrate critical interpretation, collaborative interaction, ethical and metacognitive reflection, in addition to specialized technical mastery is recognized. Based on the above, this research is structured around a comprehensive review of scientific literature, analysing studies retrieved from specialized databases in both design and higher education. The methodology will adopt the PRISMA [2021] systematic review protocol, which will ensure a rigorous process for the identification, selection, and synthesis of emerging competencies. The findings will be presented through graphic visualizations, and the discussion will incorporate relevant case studies. Ultimately, the study aims to offer an in-depth theoretical and methodological framework for future lines of research, highlighting the strategic role of AI competencies in the academic achievement and professional development of designers. These competencies are essential for overcoming limitations related to the originality, quality, and coherence of creative proposals, indispensable elements for competitive performance in educational and professional contexts.

Read PDF

Similar papers

#artificial intelligence Conference Open access Jun 2018

Gibson Env: Real-World Perception for Embodied Agents

This paper investigates developing real-world perception for active agents, proposes Gibson Environment for this purpose, and showcases a set of perceptual tasks learned therein.

F. Xia, Amir Zamir, Zhi-Yang He et al. · 1,069 citations · ⚡112
#artificial intelligence Open access May 2023

Evaluating the Performance of Large Language Models on GAOKAO Benchmark

GAOKAO-Bench is introduced, an intuitive benchmark that employs questions from the Chinese GAOKAO examination as test samples, including both subjective and objective questions that contribute a robust evaluation benchmark for future large language models and offers valuable insights into the advantages and limitations...

Xiaotian Zhang, Chun-yan Li, Yi Zong et al. · 216 citations · ⚡17

KTO: Model Alignment as Prospect Theoretic Optimization

This work proposes a HALO that directly maximizes the utility of generations instead of maximizing the log-likelihood of preferences, and suggests that the best loss depends on the inductive biases most appropriate for a given setting, an oft-overlooked consideration.

Kawin Ethayarajh, Winnie Xu, Niklas Muennighoff et al. · 195 citations · ⚡28
#artificial intelligence Open access Jul 2024

Gender, Race, and Intersectional Bias in Resume Screening via Language Model Retrieval

This work investigates the possibilities of using LLMs in a resume screening setting via a document retrieval framework that simulates job candidate selection and finds that the MTEs are biased, significantly favoring White-associated names in 85% of cases and female-associated names in only 11.1% of cases.

Kyra Wilson, Aylin Caliskan · 131 citations · ⚡8
#artificial intelligence Review Nov 2024

How to Build a Quantum Supercomputer: Scaling from Hundreds to Millions of Qubits

This work shows that orders of magnitude enhancement in performance could be obtained by a combination of hardware improvements and tight quantum-HPC integration and introduces high-performance architectures for quantum-probabilistic computing with custom-designed accelerators to tackle today's industry-scale classical...

Masoud Mohseni, Artur Scherer, K. Johnson et al. · 121 citations · ⚡9

Related blog posts

We use cookies to run the site and, with your consent, for analytics and to show ads. See our Cookie Policy.