This time its for Generative AI

Habits for a Better World is a non-profit organization project run by Karel Vredenburg and Carly Williams.


Involving 300 volunteer researchers who are using the power of research, design, foresight and filmmaking to inspire behavior change for a better world.

Role:

Design & Foresight

Researcher

Timeline:

2024-2025

With the rapid evolution of generative AI,

With the rapid evolution of generative AI,

How Might We identify and cultivate atomic habits that ensure responsible GEN AI usage everyday, fostering a resilient future?

How Might We identify and cultivate atomic habits that ensure responsible GEN AI usage everyday, fostering a resilient future?

My Role in this Project

Design Resercher

Design Resercher

Foresight Researcher

Team Lead

My research is centred on Generative AI, where I collaborated and lead a team of 5. In this role, I help guide the team, and contribute to the research itself.

Project Overview

During this phase, we began with desk research and engaged in self and group reflection to explore the problem areas and develop hypotheses. We then broadened the scope of our research by identifying two key archetypes and conducting structured and semi-structured user interviews to gain deeper insights.

2

Archetypes

14+

Atomic Behaviour Identified

16+

16+

16+

16+

Total Insights

What seems to be happening ?

We filtered and collated inputs from the previous research phase, while also scanning for weak signals from diverse sources. These signals were then mapped into the agreed horizons using the STEEP framework.

What is really happening ?

Key drivers were identified and prioritized based on their uncertainty and impact. These drivers revealed emerging patterns and shifts shaping user behaviors, technological adoption, and societal responses to generative AI.

What could happen ?

After analyzing the potential impacts of prioritized drivers, we are now developing diverse future scenarios and respective artifacts to anticipate the evolution of generative AI. Each scenario explores the interplay between these drivers, offering insights into a preferred future for generative AI.

Next Steps

Develop scenarios and create potential prototypes and artifacts to test and iterate during the evaluative research phase.

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As this is a live project, this page will be updated regularly as we make progress.