MozFest 2022

Exploring Trustworthy AI in Mozilla Data-powered Products
Language: English (mozilla)

The session is a design thinking workshop on the criteria and considerations needed to develop Trustworthy AI. How might we provide convenient and easy-to-understand features that will inform users and other stakeholders of the use case of machine learning within Mozilla product offerings?


What is the goal and/or outcome of your session?:

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Why did you choose that space? How does your session align with the space description?:

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How will you deal with varying numbers of participants in your session? What if 30 participants attend? What if there are 3?:

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What happens after MozFest? We're hoping that many efforts and discussions will continue after MozFest. Share any ideas you already have for how to continue the work from your session.:

Mozilla HBCU Collaborative Curriculum

What language would you like to host your session in?: English
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Shai Waldrip

PhD Candidate | 3rd Year GEBS | MSM

President of the AUC Data Science Club

Vice President of the Bioethics Club

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Rebecca BurWei
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Chelsea Troy
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Oluwatomi Ladipo
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Kiandra Smith
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Eva Andrews