More purposeful use of algorithmic innovations for getting a sustainability self-assessment tool

2021
AI has the potential to be a solution-driven force tackling our biggest challenge – climate crisis. The problem of climate change is complex why executives’ social responsibility and consumers’ consciousness must rise to engage with it collectively.

More purposeful use of algorithmic innovations for getting a sustainability self-assessment tool

Case study of major fashion actors to raise AI design competences and responsible consumer integration to tackle the climate crisis.

AI has the potential to be a solution-driven force tackling our biggest challenge – climate crisis.

The problem of climate change is complex why executives’ social responsibility and consumers’ consciousness must rise to engage with it collectively. Harvard Business Review interviewed executives at global institutional investment firms, the biggest asset managers, -owners and government pension funds of countries like Japan and Sweden about the environment, social and governance (ESG) issues. ESG is now top of mind for these leaders and that corporations will soon be held accountable by shareholders for their ESG-performance. The UN Sustainable Development Goals (SDGs) are the leading ESG-framework for large companies.

Nonetheless, do companies already collect user data from their sustainable customers to service the SDGs by solving global social and ecological problems?

This thesis develops a sustainability self-assessment tool applying AI design competences and algorithmic innovations for actors in the fashion and creative industries, providing more purposeful reorientation. The tool includes instructions on how to use algorithms and customer integration to strategically reduce complexity for achieving responsible circular consumption and production by 2030.

 

Melenie Hecker