List of Illustrations Abstract and Keywords 1. Introduction

1. INTRODUCTION

When people hear about Artificial Intelligence, they usually think about robots that are out there to take away our jobs and eventual take over the whole world as they evolve. But this is far from the truth. AI is a computer system that learns and grows in the field it was designed for. It can be thought of as our assistants in offices and industries, but rather than performing tasks as commanded by humans, AI is able to assist us and suggest us the best course of action. The reality is, AI will transform the way we live and the processes we follow. (FRANKENFIELD & JAKE, 2020)

This research is aimed at studying the impact of Artificial Intelligence on Architectural design process. The type of equipment and systems that are needed to achieve this. Evaluating the extent of automation possible in architectural design and the implications of AI in the field of architecture, evaluating how the role of an architect will change over time (Malaeb, J., & Ma, W. AIA.2019). We know that AI can learn and perform repeated tasks, better and faster than humans, but can AI move one step forward and start analyzing and providing solutions to lower order thinking tasks and develop further into machines that solve problems that are not yet solvable by humas. AI can learn similar to how humans learn, that is by creating connections inside the brain and in the case of AI, the connections are formed in the systems neural network.(Huang, W., & Zheng, H. 2018)

Though Artificial Intelligence has been developing independently over the years, its integration with several other fields has been very recent, architecture is considered to be one of the latest industries to have started learning about its implications in the field. Many of the studies relating to the integration of AI in Architecture are still in the experimental stage, but very soon AI could be taking over all walks of life, hence it is important as architects to manifest this technology and make use of its benefits. Machine learning systems currently being tested are able to generate automated floor plan (Huang, W., & Zheng, H. 2018), similarly system studied the architectural Roman Corinthian order and produce several variations in design automatically (Cudzik, J., & Radziszewski, K. 2018). This research paper will dive in the possibility of AI making connections and analyze the several deeper aspects of architecture, such as proportions, scales, psychology, thermal comfort and other sensitive data.

Several cases studies will be analyzed, which will provide information about the latest AI technologies used in the field of architecture. We will also see where the technology is heading and what to expect in the future. An interview was conducted with an expert dealing with digitalization in architecture and the advancements in architecture. Data was also collected by distributing questioners to a wide range of people from university students to working professionals, this showed the extent of familiarity that people have about AI and how widespread the interest is on the topic. An interview was conducted with an architecture professor who happens to be well informed about the interaction between AI and architecture.

A general description of AI and its functions, its integration into several industries and how has the industry started to function differently after the introduction of AI, will be given. Detailed analysis on the introduction of AI in the field of architecture and the implications