Design DNA
13 - 14 Nov 2025
Online
Design DNA
Aditi Madhusudan Jain
Aditi Madhusudan Jain
Aditi Madhusudan Jain
Software Developer at Amazon
Software Developer at Amazon
Software Developer at Amazon
About the speaker
About the speaker
About the speaker
Aditi Jain is a software developer at Amazon with over five years of experience building intelligent systems across cloud infrastructure, automation, and content management platforms. Her work bridges engineering with responsible AI, focusing on how emerging technologies can be used to create more scalable, inclusive digital experiences. Aditi has published research on Ethical AI in design automation and content generation, with recent work presented at IEEE conferences. Her research explores the intersection of bias, fairness, and usability in real-world AI systems—insights she actively applies to her work in product development. In both industry and academia, Aditi is deeply engaged in exploring how AI can be used not just to accelerate workflows, but to surface blind spots and reduce unintended bias in systems we rely on every day.
Aditi Jain is a software developer at Amazon with over five years of experience building intelligent systems across cloud infrastructure, automation, and content management platforms. Her work bridges engineering with responsible AI, focusing on how emerging technologies can be used to create more scalable, inclusive digital experiences. Aditi has published research on Ethical AI in design automation and content generation, with recent work presented at IEEE conferences. Her research explores the intersection of bias, fairness, and usability in real-world AI systems—insights she actively applies to her work in product development. In both industry and academia, Aditi is deeply engaged in exploring how AI can be used not just to accelerate workflows, but to surface blind spots and reduce unintended bias in systems we rely on every day.
Aditi Jain is a software developer at Amazon with over five years of experience building intelligent systems across cloud infrastructure, automation, and content management platforms. Her work bridges engineering with responsible AI, focusing on how emerging technologies can be used to create more scalable, inclusive digital experiences. Aditi has published research on Ethical AI in design automation and content generation, with recent work presented at IEEE conferences. Her research explores the intersection of bias, fairness, and usability in real-world AI systems—insights she actively applies to her work in product development. In both industry and academia, Aditi is deeply engaged in exploring how AI can be used not just to accelerate workflows, but to surface blind spots and reduce unintended bias in systems we rely on every day.
Lecture
Lecture
Lecture
The Hidden Biases in Your Design System — and How AI Can Help Surface Them
The Hidden Biases in Your Design System — and How AI Can Help Surface Them
The Hidden Biases in Your Design System — and How AI Can Help Surface Them
The high level outline is as follows:
1. (0–4 mins) Design Systems Aren’t Neutral
* Examples of small, overlooked biases in color, iconography, and copy
* Why it’s hard to spot them at scale
2. (4–9 mins) Where Bias Hides
* Tokens and defaults
* Inherited language and visual metaphors
* Who gets left out — and how
3. (9–15 mins) How AI Can Help Surface Patterns
* LLMs for inclusive language auditing
* Vision models for contrast, balance, spacing, and edge-case layout issues
* Using embeddings to compare variation drift across platforms
4. (15–20 mins) Workflow Integration
* How to plug these checks into your design pipeline
* Auditing Figma files, reviewing PRs, and setting up accessibility alerts
5. (20–25 mins) Simulating Edge Experiences
* AI-powered simulations: screen readers, low vision, cognitive overload
* Designing beyond the “default user”
6. (25–30 mins) Building Bias-Aware Design Systems
* Inclusion as part of system governance
* Metrics and habits that reinforce equitable design
The high level outline is as follows:
1. (0–4 mins) Design Systems Aren’t Neutral
* Examples of small, overlooked biases in color, iconography, and copy
* Why it’s hard to spot them at scale
2. (4–9 mins) Where Bias Hides
* Tokens and defaults
* Inherited language and visual metaphors
* Who gets left out — and how
3. (9–15 mins) How AI Can Help Surface Patterns
* LLMs for inclusive language auditing
* Vision models for contrast, balance, spacing, and edge-case layout issues
* Using embeddings to compare variation drift across platforms
4. (15–20 mins) Workflow Integration
* How to plug these checks into your design pipeline
* Auditing Figma files, reviewing PRs, and setting up accessibility alerts
5. (20–25 mins) Simulating Edge Experiences
* AI-powered simulations: screen readers, low vision, cognitive overload
* Designing beyond the “default user”
6. (25–30 mins) Building Bias-Aware Design Systems
* Inclusion as part of system governance
* Metrics and habits that reinforce equitable design
The high level outline is as follows:
1. (0–4 mins) Design Systems Aren’t Neutral
* Examples of small, overlooked biases in color, iconography, and copy
* Why it’s hard to spot them at scale
2. (4–9 mins) Where Bias Hides
* Tokens and defaults
* Inherited language and visual metaphors
* Who gets left out — and how
3. (9–15 mins) How AI Can Help Surface Patterns
* LLMs for inclusive language auditing
* Vision models for contrast, balance, spacing, and edge-case layout issues
* Using embeddings to compare variation drift across platforms
4. (15–20 mins) Workflow Integration
* How to plug these checks into your design pipeline
* Auditing Figma files, reviewing PRs, and setting up accessibility alerts
5. (20–25 mins) Simulating Edge Experiences
* AI-powered simulations: screen readers, low vision, cognitive overload
* Designing beyond the “default user”
6. (25–30 mins) Building Bias-Aware Design Systems
* Inclusion as part of system governance
* Metrics and habits that reinforce equitable design
Contact us if you have any questions.
gabriela@designdnaconf.com
Contact us if you have any questions.
gabriela@designdnaconf.com