The Smart Communications Podcast: Episode 185 – Approaching AI with an Equity Lens
Released on April 30, 2025 | Host: Farrah Trim Peter | Guest: Mina Das, CEO of Namaste Data
Introduction
In Episode 185 of The Smart Communications Podcast, host Farrah Trim Peter delves into the critical intersection of artificial intelligence (AI) and equity. This episode, titled "How Can You Approach AI with an Equity Lens?", features Mina Das, the CEO of Namaste Data—a consulting agency dedicated to fostering ethical and human-centered AI and data practices within the nonprofit sector. With 17 years of experience bridging the tech and nonprofit worlds, Mina brings invaluable insights into how organizations can harness AI responsibly to advance their missions.
Understanding AI Equity and the AI Equity Project
Farrah Trim Peter opens the conversation by introducing the central theme: approaching AI through an equity lens. She highlights Mina Das as a leading voice in this domain, noting her contributions such as authoring the Community Centric Data principles and co-founding the AI Equity Project.
Mina Das elaborates on the origins of the AI Equity Project, revealing a collaborative effort with Michelle Flores Vrin initiated in 2024. The project emerged from a shared concern that discussions around AI within the nonprofit sector were predominantly technical, overshadowing crucial conversations about accountability, ethical data practices, and inclusive implementation. Mina articulates:
“The conversation about AI has to be more beyond just the tech conversations or the tech stack or login credentials.”
[01:58]
The AI Equity Project aimed to fill this gap by engaging over 700 nonprofit organizations, gathering data to assess the sector's readiness and identifying key areas where equity considerations were lacking. The project is slated for annual repetition to track progress and evolving challenges, emphasizing that AI is a lasting technological force that must be approached thoughtfully and proactively.
Key Findings from the AI Equity Project
When prompted by Farrah to summarize the report's findings, Mina Das presents three primary insights, supplemented by a fourth bonus learning:
-
Insufficient Funding for Experimentation
The study revealed a significant funding gap hindering nonprofits from experimenting with and co-learning about AI and data equity. This lack of financial support stifles innovation and the ability to implement equitable AI solutions.
-
Lack of Common Language Around Data Equity
There is a pressing need for a unified terminology within the sector. Terms like data equity and AI equity are not universally understood, leading to fragmented efforts and misunderstandings. Mina emphasizes the importance of building a shared vocabulary to facilitate meaningful dialogue and collaboration:
“We are not just sharing that with each other enough to build that common Vocabulary, that common document.”
[07:10] -
Limited Partnerships Beyond Tech Companies
Nonprofits tend to rely heavily on partnerships with major tech firms, overlooking opportunities for collaboration with other nonprofits or coalitions. This narrow focus restricts the diversity of perspectives and solutions that could enhance AI equity initiatives.
-
Transition from Task-Based to Mission-Based AI
Currently, AI usage within nonprofits is predominantly task-oriented—such as drafting letters or planning events. Mina advocates for a shift towards mission-centric AI applications that align with organizational goals and foster deeper, more strategic use of technology.
“Pretty much that's it with when we think of Gen AI. Where I want us to get to is a place of moving from task based AI to mission based AI.”
[09:50]
These findings underscore the need for strategic investment, shared understanding, broader collaboration, and a mission-aligned approach to AI in the nonprofit sector.
Data Equity Practices for Nonprofits
Transitioning the discussion to data equity, Mina Das highlights several practices that nonprofits must adopt to ensure their data handling is fair, transparent, and inclusive:
-
Reevaluating Data Collection Methods
Nonprofits must scrutinize the why and how of their data collection. It's not merely about amassing more data but understanding the purpose behind it and ensuring that data collection processes are transparent and contextually appropriate.
“The second misconception around data equity is how we collect the data and why we collect the data.”
[11:57] -
Building Context, Transparency, and Accessibility
Data should be collected with an emphasis on context and made accessible to relevant stakeholders. This approach fosters trust and ensures that data serves the organization's mission without perpetuating biases or exclusions.
-
Moving Beyond Identity Data
While much attention is given to demographic data (e.g., race, gender), data equity encompasses all types of data. Organizations must consider how every piece of data is handled, stored, and utilized through an equity lens.
-
Challenging the "Need More Data" Paradigm
Mina urges nonprofits to move away from the belief that more data inherently leads to better outcomes. Instead, organizations should focus on the quality and relevance of the data they hold, ensuring it's leveraged effectively to support their missions.
Approaching AI and Emerging Technologies
Farrah Trim Peter draws parallels between the evolution of past technologies and the current emergence of AI, prompting Mina to share her perspective on how nonprofits should navigate these changes. Mina emphasizes the normalization of fear and resistance to new technologies, likening the apprehensions surrounding AI to those experienced during the advent of floppy disks or VCRs.
“I want us all to feel encouraged and welcome to approach it differently. Look at it not in a way that yes, it's going to solve their breeding, but look at it from a point of view of curiosity.”
[15:25]
Key takeaways from Mina's approach include:
-
Embracing Curiosity Over Fear
Instead of viewing AI as a threat, organizations should foster a sense of curiosity and explore how AI can augment their capabilities.
-
Distinguishing Between What AI Can Do and Who You Are
AI can replicate tasks but cannot replace the unique human qualities—such as compassion and creativity—that drive nonprofit missions.
“AI can replace what you do. It can't replace who you are.”
[17:10] -
Focusing on Intentions and Values
The ethical use of AI hinges on the intentions behind its deployment and the values guiding its implementation. Nonprofits must ensure that their use of AI aligns with their core mission and ethical standards.
Hopes for the Future of AI in the Nonprofit Sector
When asked about her aspirations for AI's role in nonprofits five decades down the line, Mina Das shares a visionary outlook grounded in continuous equity and solid foundational practices:
-
Sustained Commitment to Inclusivity
Mina hopes that in 50 years, nonprofits will persistently evaluate whether their AI initiatives are inclusive and justice-oriented. This ongoing self-assessment will ensure that AI serves as a tool for equity rather than perpetuating existing disparities.
“Is this whatever we are doing with AI, is this inclusive enough or not?”
[20:10] -
Establishing Robust Data Foundations
She envisions a future where nonprofits have sophisticated data systems in place, eliminating the need to repeatedly grapple with basic data management issues. This foundational strength will enable more advanced and strategic use of AI without backtracking on essential data practices.
“I don't want someone to pick up this kind of research again and find out that we don't have the right data systems.”
[21:20] -
Continued Collaboration and Collective Action
Mina emphasizes the importance of collective efforts in maintaining ethical AI practices. By working together, nonprofits can ensure that AI technologies are leveraged to democratize power and promote equity across the sector.
Final Advice and Closing Thoughts
As the conversation draws to a close, Mina Das imparts heartfelt advice to nonprofits navigating the complexities of AI:
“Approach it with a lot of love, a lot of joy. I know it sounds so fundamental, but that's the thing. We just need to go back to fundamentals.”
[23:18]
She underscores the importance of maintaining a positive and values-driven approach to technology adoption, encouraging organizations to harness AI in ways that amplify their strengths and serve their communities effectively.
Farrah Trim Peter echoes Mina's sentiments, advocating for love, joy, and curiosity as guiding principles for handling emerging technologies. She also directs listeners to additional resources, including the AI Equity Project report and Mina's LinkedIn profile for further engagement.
Key Quotes with Timestamps
-
Mina Das on Expanding AI Conversations Beyond Tech:
“The conversation about AI has to be more beyond just the tech conversations or the tech stack or login credentials.”
[01:58] -
Mina Das on Common Language in Data Equity:
“We are not just sharing that with each other enough to build that common Vocabulary, that common document.”
[07:10] -
Mina Das on Transitioning to Mission-Based AI:
“Pretty much that's it with when we think of Gen AI. Where I want us to get to is a place of moving from task based AI to mission based AI.”
[09:50] -
Mina Das on AI Replacing Actions, Not Identity:
“AI can replace what you do. It can't replace who you are.”
[17:10] -
Mina Das on Inclusivity in AI Applications:
“Is this whatever we are doing with AI, is this inclusive enough or not?”
[20:10] -
Mina Das on Foundational Data Practices:
“I don't want someone to pick up this kind of research again and find out that we don't have the right data systems.”
[21:20] -
Mina Das on Approaching AI with Positivity:
“Approach it with a lot of love, a lot of joy. I know it sounds so fundamental, but that's the thing.”
[23:18]
Conclusion
Episode 185 of The Smart Communications Podcast offers a profound exploration of how nonprofits can engage with AI responsibly and equitably. Mina Das provides a roadmap for integrating AI in ways that uphold ethical standards, promote inclusivity, and align with organizational missions. By emphasizing the importance of shared language, strategic funding, and collaborative efforts, this conversation serves as a crucial guide for nonprofits aiming to leverage AI as a force for good. Listeners are encouraged to engage with the full report of the AI Equity Project and connect with Mina Das through Namaste Data and LinkedIn for ongoing insights and support.
Connect with Mina Das and Explore Further:
- Website: NamasteData.org
- LinkedIn: Mina Das
- Podcast Contact: hello@bigduck.com
Follow and Support the Podcast:
If you found this episode insightful, consider reviewing the podcast on iTunes or your preferred platform. Your feedback helps us tailor content to your needs and continue providing valuable resources for nonprofit communication leaders.