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World Congress 2023 • Oct 23, 2023

Racism fuels users experiences : why you should understand the strength of biased narratives.

Marcy Charollois

Why do medical algorithms miss late-stage melanomas on dark skin? Discover how UX and engineering teams can dismantle biased narratives and design profoundly inclusive software.

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#1 about 5 min

Personal experiences with racism and multicultural identity

Early encounters with racism and colorism highlight how societal biases shape individual self-worth and professional experiences.

#2 about 2 min

Questioning the concept of a neutral user experience

Standardized norms often default to white experiences, leaving marginalized groups without adequate representation in everyday physical products.

#3 about 3 min

Designing an inclusive connected luggage product experience

A team project demonstrates how embedding cultural and regional representation into connected luggage creates award-winning experiences.

#4 about 4 min

Integrating ethical responsibility into core UX goals

Advancing beyond standard usability requires dismantling exclusionary standards and adopting an empathetic, diversity-focused product mindset.

#5 about 3 min

Leveraging cognitive biases for diversity in design

Implementing principles like the peak-end rule makes diverse representation more memorable and impactful for digital users.

#6 about 3 min

Facial recognition failures for indigenous global communities

Traditional tribal customs like facial tattoos reveal how modern biometric technologies fail to identify non-Western human features.

#7 about 3 min

Addressing harmful language and algorithmic racism in tech

Replacing outdated technical terminology and correcting visual biases prevents the perpetuation of race-based trauma and workplace discrimination.

#8 about 4 min

Applying diversity-driven visuals and global naming constraints

Accommodating unexpected name lengths, diverse emojis, and various text reading directions ensures inclusive global software architecture localization.

#9 about 2 min

Creating an inclusive and respectful user research framework

Earning consent and providing clear opt-out choices protects vulnerable minorities from extractive data practices during audience interviews.

#10 about 4 min

Real-world impacts of biased datasets and fake diversity

Omitting diverse representation creates systemic issues ranging from delayed medical diagnoses to the rise of AI-generated superficial diversity.

#11 about 1 min

Balancing diversity representation in homogenous target markets

Adding modest diverse representation to products aimed at homogenous user bases fosters broader inclusion without alienating core customers.

Matching moments

4:30 min

Overcoming engineered biases to achieve equal technology representation

Brenda Romero Brenda Romero · LIVE

3:11 min

Consequences of missing diversity in product development decisions

Brenda Romero Brenda Romero · LIVE

2:42 min

Mitigating data bias and explaining AI decisions

Werner Vogels Werner Vogels +1 · WWC Europe 2026

2:18 min

Addressing implicit human biases embedded within algorithmic datasets

Cassie Kozyrkov · WWC 2022

4:41 min

Identifying systemic biases in algorithms and artificial intelligence tools

Emily Wright Emily Wright · Europe 2026 Virtual

2:03 min

Adapting to future accessibility and inclusivity standards using AI

Madalena Costa Madalena Costa · WWC 2024

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