Identification of Behavioral Impact Parameters of Artificial Intelligence in Architecture Education: Fid-Bau Portal

Identification of Behavioral Impact Parameters of Artificial Intelligence in Architecture Education

Garg, Kanchan / Jyoti, Jeevan / Sharma, Vikas Chand

Artificial intelligence (AI) is an innovative practice of the human mind that plays its role at different levels either in education or profession nowadays. Authors are keen to study the role of AI in education, especially architecture education. Professional education is undergoing transformations in India in a broader way after implementation of NEP 2020. More emphasis toward skilled outcomes involves many software’s, co-curricular activities and reframing of scheme and syllabi w.r.t. futuristic scopes like artificial intelligence. “Involvement of AI in architecture needs to be practiced in respect to data usage (may be impossible to process without the contribution of computational technologies), indexing and classification of information and processing like emotional connect with client, Legal codes, physical environment analysis, user’s needs, functional requirements, previous cases, etc., other than different educational and professional basic software requirements (https://imotions.com/blog/insights/research-insights/how-architecture-affects-human-behavior/, 2023, [1]). Opinions claiming that AI can fully replace architects are similarly present as opinions claiming the exact opposite. Currently, it is not possible to replace all local architectural tasks” [2]. Study on the ‘Future of Employment’ (2013) concludes that “various professions are being replaced by artificial intelligence using a digitalized world while professions in architecture have the least risk with only 1.8% (https://parametric-architecture.com/does-ai-allow-architects-to-return-to-the-heart-of-their-profession/, 2023, [3]). Architecture placed on negligible risk is due to the number of diverse tasks involved which may get transformed in future as technology will be more advanced and widespread (Clark in J Archit Psychol 7(4):250–265, 2022, [4])” (Benedikt and Osborne in The future of employment: how susceptible are jobs to computerisation?, 2013, [5]). COVID pandemic has raised the need for artificial intelligence (image, video, speech-to-text, etc.) exponentially for better and effective outcomes eliminating demerits of prevailing online education systems. Architecture education is an important component in experiential learning by using different online MOOC platforms like EDX, NPTEL, COURSERA, LINKEDIN, etc. This paper identifies behavioral impact parameters of artificial intelligence in architecture education.