AI-Augmented
Design Thinking
Dissertation

Overview

Explored how AI can automate insight gathering, data synthesis, and workflows in design. Demonstrated that AI boosts creativity and efficiency but must be integrated ethically—reshaping design roles and industry standards.

Too Long, Didn’t Read

Design thinking is under pressure due to increasing complexity, high cost, slow processes, and human cognitive limitations.

AI offers a solution by enhancing insight collection, automating workflows, scaling research, and enabling predictive design.

This dissertation explores how AI can augment — not replace — designers across all phases of the design thinking process.

Real-world case studies (e.g., Critical Mass’ use of synthetic users) and expert interviews illustrate AI’s transformative impact.

The designer’s role is evolving from executor to strategist, curator of AI tools, and ethical overseer of AI integration.

Key risks are examined including data bias, loss of creativity through design convergence, and challenges to user trust and data privacy.

AI-Augmented Design Thinking is presented as an opportunity to modernize innovation workflows while preserving human-centered values.