AI-based recruiting tools don’t like women. An average ChatGPT conversation consumes 500ml/ 16,91oz of water. Data annotators are not only challenged by low wages but also by mental health issues. These examples show that AI has issues addressing social, environmental, and economic sustainability.
All too often, we are looking only at the bright side: the opportunities, innovations, conveniences (e.g., write that article for me), and fun (e.g., create that fun image). And certainly, AI does or can enhance both our private and professional lives. However, these enhancements come at a price. This has been observed by the UN, with the consequence that a resolution has been adopted to promote “safe, secure, and trustworthy AI systems that also benefit sustainable development.”
In this session, I want to explore practices that can help us all to become aware of our blind spots and, in this way, be able to create AI 4 Sustainability. So, it seems AI 4 Sustainability requires a lot of work. Let’s get started.
This online event session was organised in collaboration with:
- Agile Alliance New Zealand
- Kanban New Zealand – the Limited-WiP-Society
- Agile Welly
- Business Agility New Zealand
- Agile Auckland
- Auckland Agile Coaching Meetup
- LAST Club (Australia)
- Agile Lean International (Germany, Dublin, Galway)
