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Changing Tomorrow: Architecture, Equity, and Social Sustainability
Changing Tomorrow is the podcast for real estate developers, architects, workplace strategists, and corporate leaders whose decisions shape the built environment.
Each season tackles a critical, unresolved challenge at the intersection of sustainable design, commercial real estate, corporate strategy, and human performance. We look closely at the friction points where ESG goals and business objectives collide faster than the industry can agree on a path forward.
Through candid conversations with global practitioners, researchers, and cross-industry leaders, we test a fundamental question: can buildings, interior spaces, and organizations be intentionally designed to measurably improve human health, equity, and well-being?
Changing Tomorrow is powered by Liveable, an independent research and advisory organization setting a clearer standard for social value in the built environment. We work with real estate, workplace, and built environment leaders to understand how buildings, products, policies, and business strategies shape people’s lives. Through research, reporting, and strategic advisory, Liveable helps organizations assess human impact, communicate it clearly, and use it to make better decisions.
Changing Tomorrow: Architecture, Equity, and Social Sustainability
Stanford Scholar: Opting Out of AI Is Not Neutral | Zainab Garba-Sani | People Positive AI
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The Real Cost of Digital Disengagement
What if the most ethical stance you could take against biased technology actually made that technology twice as dangerous?
In this episode of Changing Tomorrow, host Gayathri welcomes Zainab Garba- Sani, founder of Access AI, Stanford-affiliated research scholar, and UK Commonwealth Fund Senior Harkness Fellow. Zainab sits at the high-stakes intersection of health policy, innovation, and community-centered practice, putting the people closest to problems at the centre of driving their solutions.
She explains why passive disengagement from technological infrastructure drives suboptimal performance for marginalized populations. True systems change requires moving past surface-level public relations exercises and designing authentic, structural pathways for data stewardship.
Inside the Conversation:
- Why "opting out" of artificial intelligence directly creates biased datasets that compromise human health and safety.
- The example of bias within a widely-used clinical algorithm, revealing how using financial expenditure as a proxy for human need distorts automated decision-making.
- The historical landscape of institutional exploitation, from Henrietta Lacks to modern clinical trials, and why a trust deficit blocks technological scaling.
- How individual data consent can inadvertently dismantle community data sovereignty agreements.
- The practical mechanics of reducing the structural burden of engagement for busy, complex populations.
- Why the modern tech race will inevitably stall at the implementation phase unless organizations view trust as a hard capital investment.
Chapters:
- 00:00 – Introduction: Shifting past the empty rhetoric of "responsible innovation"
- 01:52 – The Risk Vector: Why opting out of data creation is a systemic danger
- 03:43 – Inherited Disparities: How historical institutional distrust compromises modern datasets
- 06:08 – The Proxy Trap: Case studies in algorithmic miscalculation and human harm
- 09:34 – Redefining Engagement: Moving past the corporate tick-box model
- 13:59 – The Business Case for Trust: Why inclusive implementation determines commercial success
- 18:15 – Lessons from Public Health: Specificity, intersectionality, and cultural compliance
- 26:37 – The Policy Path: Building capability, feedback loops, and data stewardship
- 41:53 – Defining People Positive AI: Operational equity for the modern enterprise
Resources & Links:
- Connect with Zainab Garba Sani on LinkedIn: https://www.linkedin.com/in/zainabgarba-sani/
- Read the Access AI Framework on Health Affairs: https://www.healthaffairs.org/content/forefront/c-c-e-s-s-ai-new-framework-advancing-health-equity-health-care-ai. Use this resource to explore the formalized framework Zainab led for embedding accountability, safety, and community representation directly into algorithmic governance models.
- Read Zainab's Featured Profile on Black Pharma: https://www.blackpharma.org/post/health-equity-advocate-blog-post-1. Use this resource to learn more about Zainab’s personal journey, her advocacy across the UK and US healthcare ecosystems, and her foundational work in health equity.
- Contact Zainab at: zainabgs@stanford.edu
- Download the Liveable’s Latest Report: Access Liveable’s Spring 2026 Brief on AI Accountability in the Built Environment: https://makeitliveable.com/spring-brief
- Partner With Liveable: Learn how Liveable helps organizations track and scale verifiable social value: www.liveable.earth
- Connect with Host Gayathri Unnikrishnan: https://www.linkedin.com/in/gayathri-ukrishnan/
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This podcast is proudly brought to you by Liveable, an independent social sustainability organization based in California.
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