Following thorough research on human perception of AI, we lacked prototyping ideas. To overcome this, we used the "crazy 4s" method, a scaled-down version of "crazy 8," to generate both wild and feasible ideas that could help us get started.
The objective of “crazy 8” is to move beyond the initial idea, it is a good way to create a diverse set of concepts —— giving the comfort of not having to overthink the right “solution”
crazy 4 sketches that were made during the ideation stage —— the coloured text boxes represent the top 6 ideas out of the 24 ideas that emerged during this exercise —— the toolkit idea was what we resonated with the most and decided to start our making phase through it
While we were ideating and moving forward — we were also swimming in a pool of data gathered in week 3. Hence, we decided to create common themes across the responses gathered. Creating themes and topics that emerged during our interaction with people, helped us in finding common insights across all the methods that were employed —— in-person survey, online survey, and directed storytelling.
a theme guide made with all the responses recorded across the three research methods - the coloured text boxes represent the common insights across the three —— helping us form an understanding of how AI is perceived by humans
Key Insights
Unlike humans, who possess qualities like experiences, emotions, imagination, and purpose (Braga & Logan, 2017), computers lack a grounding element. The survey and directed storytelling revealed respondents' reluctance to attribute human qualities to AI.
Additionally, a respondent mentioned the spontaneous nature of human responses, emphasising their motivations and desires. Edward Slinerland further highlights this distinction by describing artificial general intelligence (AGI) computers as "directionless intelligences" without inherent desires or motivations (Browning, 2023).
a recorded audio clip of one of the respondents — mentioning the spontaneity in humans
<aside> 💭 These insights emphasise the inherent disparities between computers and humans, underscoring the unique and irreplaceable nature of human intelligence in the realm of artificial intelligence.
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