When AI Can’t See You: Designing Against Algorithmic Cruelty Copy

When AI Can’t See You: Designing Against Algorithmic Cruelty Copy

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As AI becomes embedded in more of the products we design, an uncomfortable reality has emerged: systems can work exactly as intended and still cause harm. From recommendation engines that resurface painful memories, to biometric AI that performs poorly on underrepresented groups, to automated decisions that quietly exclude vulnerable users, many of the most damaging failures in AI aren’t caused by bad actors. They’re the result of perfectly reasonable design decisions made with incomplete data, narrow assumptions, or the wrong optimisation goals. In this talk, Dr Lizette Spangenberg explores how algorithmic cruelty emerges in everyday products and why traditional UX approaches often fail to catch it. Drawing on examples from social media, consumer technology, and healthcare AI, she introduces practical frameworks that help teams identify who a system works worst for, uncover hidden risks, and design more humane AI-driven experiences. Attendees will leave with a new lens for evaluating AI products and a set of actionable tools they can apply immediately within their own organisations.

About

Reunion.ai logo

This year’s programme centres on five critical conversations shaping the future of UX, product, and design in our context. These are themes are open questions, grounded in the realities of building products, running teams, and designing for diverse, complex environments.

About

Reunion.ai logo

This year’s programme centres on five critical conversations shaping the future of UX, product, and design in our context. These are themes are open questions, grounded in the realities of building products, running teams, and designing for diverse, complex environments.

Talks from Day 1

Talks from Day 2