Culture Fit: Racial Bias in Tech #2 - Original Gatekeepers
Release Date: 11/16/2020
Culture Fit: Racial Bias in Tech #6 - The Work Ahead
The All Turtles Podcast
So where do we go from here? How do we build a more inclusive future in tech? A good place to start is by listening to those who have worked to improve equity in Silicon Valley for years.
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Culture Fit: Racial Bias in Tech #5 - Internal Investigation
The All Turtles Podcast
We’re turning the mirror on ourselves to assess diversity, equity, and inclusion at All Turtles. If we believe every company could benefit from open conversations about diversity issues, we need to start with ourselves.
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Culture Fit: Racial Bias in Tech #4 - Built-in Bias
The All Turtles Podcast
Racial bias has not only worked its way into tech workplaces, it’s also in the products we build. How can we mitigate the harm that these biases cause in the products Silicon Valley puts out into the world?
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Culture Fit: Racial Bias in Tech #3 - The Pipeline Fallacy
The All Turtles Podcast
A common excuse tech companies make for their lack of diversity is to blame the “pipeline,” saying there aren’t enough qualified candidates from historically excluded groups in the talent pool. Why do tech companies lean on this argument, and what are they missing? "Culture Fit: Racial Bias in Tech" is a 6-part All Turtles Podcast series taking in-depth look at racial inequalities in the tech industry.
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Culture Fit: Racial Bias in Tech #2 - Original Gatekeepers
The All Turtles Podcast
It’s time to hop into the way, way back machine. We’re examining the history of Silicon Valley to better understand how we got to the current moment of racial inequity in tech.
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Culture Fit: Racial Bias in Tech #1 - Monoculture
The All Turtles Podcast
Introducing "Culture Fit: Racial Bias in Tech," a 6-part All Turtles Podcast series taking an in-depth look at racial inequalities in the tech industry.
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When AI is misaligned
The All Turtles Podcast
Brian Christian is the bestselling author of The Most Human Human and Algorithms to Live By. His latest book is called The Alignment Problem. He’s here today to talk about everything that goes wrong when we build AI systems and the movement to fix this lack of alignment, including lessons to be learned from a near missile strike. What will the future of algorithmic decision-making look like?
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The future of the reading brain
The All Turtles Podcast
How is digital media impacting our capacity for critical thinking, empathy, and reflection? This is an important question to consider, especially as we become increasingly dependent on technology. Our digital dependence has been amplified during the pandemic, as we rely heavily on virtual communications. Today, Maryanne Wolf, author of Reader, Come Home, joins the podcast to share practical advice for fostering critical thinking while immersed in the digital world.
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Privacy and community
The All Turtles Podcast
Products aren’t neutral—that’s our ethos at All Turtles. Products are built with a point of view that impacts the community of users and plays a role in the development of privacy guidelines. In this episode, All Turtles’ three cofounders (Phil Libin, Jessica Collier, and Jon Cifuentes) discuss community and privacy. Phil is the CEO of mmhmm, and Jessica is the CEO of Spot, so they share their perspectives on building these products with a specific POV.
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Fundraising during a pandemic
The All Turtles Podcast
For startups, securing funding can be a long and bumpy road, and in many ways the pandemic has made it even bumpier. Tellus (an All Turtles product) has still found success in recent months, and today their CEO Tania A. Coke is imparting key lessons from their fundraising process. How did she and her team build new relationships with investors entirely over Zoom?
info_outlineIt’s time to hop into the way, way back machine. We’re examining the history of Silicon Valley to better understand how we got to the current moment of racial inequity in tech.
"Culture Fit: Racial Bias in Tech" is a 6-part All Turtles Podcast series taking in-depth look at racial inequalities in the tech industry.