| dc.description.abstract | This literature review investigates the intersection of Artificial Intelligence (AI) and Design
Thinking (DT), with a focus on how AI technologies can enhance each of the 3 core
stages of DT: Data gathering about user needs, Idea generation, and Testing. In an era
where AI's rapid evolution continues to push the boundaries of what is possible, this
review examines its potential to revolutionize DT methodologies, thereby enabling more,
user-centered, iterative, innovative, and efficient design solutions across a spectrum of
domains.
Our findings reveal that AI not only streamlines the DT process by offering scalable and
efficient solutions, but also challenges designers to rethink their approach to creativity
and problem-solving. Since AI has the power to influence so much in the design process,
is relevant to understand which new tasks will be taken from designers and which new
tasks will be demanded from them. The review identifies key areas where AI contributes
significantly, including user research, data analysis, idea generation, and rapid
prototyping, while also addressing the ethical considerations and challenges inherent to
AI integration, such as the presence of moral bias in the AI code, or the development of
AI-dependence by its users. The discourse navigates through the nuances of human-AI
collaboration, emphasizing the need for a balanced approach that leverages AI's
strengths without diminishing the value of human intuition and creativity.
This literature review is based on the study of multiple papers related to “AI”, “design
Thinking” and other many cross-disciplinary searches on AI and the multiple stages of
DT. During this research, some limitations were encountered such as the presence of
much contradicting data, since AI performance today is not the same as they were 10
years ago. This field of study demands continuous analysis to guarantee a full
understanding of the latest developments in AI technology and to ensure that AI
capabilities for design thinking are in tune with today’s latest events.
By fostering a deeper understanding of AI's current capacities and potential applications
within DT, this review aims to pave the way for a future where AI and human creativity
work in harmony, driving forward the boundaries of innovation. | |
| dc.subject | The thesis explores how AI enhances the three core stages of design thinking: data gathering, idea generation, and testing. AI efficiently processes user data, suggests innovative solutions, and rapidly prototypes, improving the design process. The research emphasizes addressing ethical challenges and fostering human-AI collaboration. It also discusses how AI can mitigate biases in design and highlights the potential for AI to streamline workflows and enable more precise and user-specific design | |
