02:26 - Lauren’s Superpower: Remembering Useful Yet Sentimental Facts About People
03:57 - Lauren’s Professional Background
07:35 - Bias in the Downsides of AI
* Automation vs. Augmentation
* Meredith Broussard (https://en.wikipedia.org/wiki/Meredith_Broussard)
11:15 - Media and AI/How the Media Affects People’s Perception of AI
14:32 - Concerns of Small and Midsize Businesses Pertaining to AI
18:37 - How to Mitigate Bias in AI
22:23 - Ethics in AI
* Loomis v. Wisconsin (https://en.wikipedia.org/wiki/Loomis_v._Wisconsin)
25:39 - Defining Bias in AI
* Georgetown University Law Center (https://www.law.georgetown.edu/)
* Unconscious Bias
* Harvard Implicit Bias Test (https://implicit.harvard.edu/implicit/takeatest.html)
32:04 - Fairness vs. Accuracy in Algorithms
38:30 - Preventing Bias in AI Resources
* Gartner (https://www.gartner.com/en)
* Towards Data Science Blog (https://towardsdatascience.com/)
* Github (https://github.com/)
41:00 - Working Remotely
* Proactively Communicating
* Setting Boundaries
50:45 - Diversity and Inclusion in the Workplace
* Slack (https://slack.com/)
* Aubrey Blanche, Atlassian (https://www.atlassian.com/)
Reflections:
John: Lauren talking about the work she’s doing to pre-educate people so they can prevent themselves from getting in trouble even before they build their models.
Chanté: It’s not enough to just be doing this internally. Bias happens in all shapes, sizes, and forms and it’s important to recognize that.
Jacob: In a biased society we can’t expect completely unbiased data; therefore we can’t train an algorithm on the theoretical equitable world that we want to create. There will always be a trace of the bias we have now.
Lauren: The first step is acknowledging the bias exists in the first place.
This episode was brought to you by @therubyrep (https://twitter.com/therubyrep) of DevReps,LLC (http://www.devreps.com/).
To pledge your support and to join our awesome Slack community, visit patreon.com/greaterthancode (https://www.patreon.com/greaterthancode)
To make a one-time donation so that we can continue to bring you more content and transcripts like this, please do so at paypal.me/devreps (https://www.paypal.me/devreps). You will also get an invitation to our Slack community this way as well.
Amazon links may be affiliate links, which means you’re supporting the show when you purchase our recommendations. Thanks!
Special Guest: Lauren Maffeo.

02:26 - Lauren’s Superpower: Remembering Useful Yet Sentimental Facts About People

03:57 - Lauren’s Professional Background

07:35 - Bias in the Downsides of AI

Automation vs. Augmentation
Meredith Broussard

11:15 - Media and AI/How the Media Affects People’s Perception of AI

14:32 - Concerns of Small and Midsize Businesses Pertaining to AI

18:37 - How to Mitigate Bias in AI

22:23 - Ethics in AI

Loomis v. Wisconsin

25:39 - Defining Bias in AI

Georgetown University Law Center
Unconscious Bias
Harvard Implicit Bias Test

32:04 - Fairness vs. Accuracy in Algorithms

38:30 - Preventing Bias in AI Resources

Gartner
Towards Data Science Blog
Github

41:00 - Working Remotely

Proactively Communicating
Setting Boundaries

50:45 - Diversity and Inclusion in the Workplace

Slack
Aubrey Blanche, Atlassian

Reflections:

John: Lauren talking about the work she’s doing to pre-educate people so they can prevent themselves from getting in trouble even before they build their models.

Chanté: It’s not enough to just be doing this internally. Bias happens in all shapes, sizes, and forms and it’s important to recognize that.

Jacob: In a biased society we can’t expect completely unbiased data; therefore we can’t train an algorithm on the theoretical equitable world that we want to create. There will always be a trace of the bias we have now.

Lauren: The first step is acknowledging the bias exists in the first place.

This episode was brought to you by @therubyrep of DevReps,LLC.

To pledge your support and to join our awesome Slack community, visit patreon.com/greaterthancode

To make a one-time donation so that we can continue to bring you more content and transcripts like this, please do so at paypal.me/devreps. You will also get an invitation to our Slack community this way as well.

Amazon links may be affiliate links, which means you’re supporting the show when you purchase our recommendations. Thanks!

Special Guest: Lauren Maffeo.

Support Greater Than Code

Guests

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