ALI Labs

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 at the bright side only: 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 this way be able to create AI 4 Sustainability. So, it seems AI 4 Sustainability requires a lot of work. Let’s get started.

The organiser Silke

Silke is a Project Consultant, Accredited Kanban Trainer, Kanban Product, Coaching and Management Professional in New Zealand and certified facilitator of all versions of the Okaloa Flowlab. Her public classes "Team Kanban Practitioner", "Scrum Better with Kanban", "Kanban System Design", "Kanban Systems Improvement", "Kanban for Design and Innovation" (the Product Manager / Product Owner / Project Manager path of the KMP credential) can be found under her Kanban University profile. https://kanban.university/kuapps/#/user-profile/user/24536. She has trained many people and organisations also in-house around New Zealand.
As an intercultural trainer, she has written the two only intercultural books about New Zealand in German, one of them translated into English. https://wahlheimat-neuseeland.de/silke-noll-training-and-coaching/

She has previously worked in Scrum, SAFe, Nexus, LeSS and waterfall contexts as a Business Analyst, Tester, Scrum Master and Agile Coach. Her original background is (investment) banking / trading.
She loves networking, intercultural topics, kite-surfing, running, gym, sauna, tramping, languages, learning new things, going on roadies with her van, wine, good food, hanging out with friends.

As AI adoption accelerates, organizations are repeating the same mistakes seen in failed Agile transformations - prioritizing tools over people and ignoring organizational readiness. This talk introduces a practical, bottom-up framework for successful AI implementation that leverages existing Agile expertise. Dorota will explain why universal AI literacy must precede implementation, how domain experts (not executives) should drive use case discovery, and why iterative implementation leads to sustainable adoption. Drawing from her experience building Paloma's AI Academy and leading organizational AI initiatives, she'll demonstrate why Agile Coaches are uniquely positioned to lead human-centered AI transformations that deliver lasting value.