If you had to rate your current AI systems on a scale of 1 to 10, how responsible and sustainable would they really be?

Today, developers and non developers alike are building AI agents that take on repetitive tasks once performed by humans, reshaping workflows and transforming business processes. These agents are rapidly evolving into active digital coworkers taking on real responsibilities much like human team members.

While this innovation is exciting, it’s crucial to acknowledge the other side of the story. Not all AI systems are built responsibly or sustainably. Many can have unintended negative consequences for businesses, people, and the environment both now and in the long term.

In this session, we will:
– Explain why sustainability and responsibility are critical to modern AI systems
– Analyse a real-world AI system to assess how responsible and sustainable it truly is
– Explore how to uncover hidden environmental, social, and business impacts of AI
– Share a practical blueprint framework for assessing and designing sustainable AI agents
– Examine how responsible AI design supports long-term business value and profitability

By the end of this session, participants will be better equipped to evaluate existing AI systems, ask the right questions before deploying new ones, and advocate for AI solutions that are smarter, safer, and more sustainable.

Join us and take a meaningful step towards building responsible and more sustainable AI systems.

Assumed Knowledge:

Attendees you have a basic knowledge / understanding of AI systems and sustainability

Practical Takeaways:

By the end of this session, participants will be better equipped to evaluate existing AI systems, ask the right questions before deploying new ones, and advocate for AI solutions that are smarter, safer, and more sustainable.

Out of Session Scope:

N/A