Howdy, I’m Erin! I am a very online individual passionate about facilitating better connections online and off. I’m forever thinking about how we can communicate, educate and elevate others through collaborative experiences.
Currently, I’m an open source advocate and educator looking for my next adventure. Outside of my day-to-day work, I am a stand-up comedian, graduate technical advisor, content creator, triathlete, avid reader, and dog parent.
Most importantly, I believe in the power of being unabashedly “into things” and working to help friends, strangers, colleagues, community builders, students, and whoever else might cross my path find their thing.
Machine learning has experienced an explosion of popularity in recent years, and even more so in recent months. In response, companies including but not limited to Reddit, Twitter, and Snapchat have all closed off, restricted access, or made headlines for how “open” they are with data to train large generative models.
Managing large open datasets is often a thankless act — but it’s one that we must invest in if we truly want to prioritize a future that includes ethical machine learning. In this talk, we’ll explore the role open data plays in machine learning, why it’s concerning to see organizations close access to their API, the cost/benefits institutions and individuals run when they open their data, and — most importantly — we’ll walk through different resources, projects, and opportunities for individuals to direct us to a better future at this current juncture in open data and machine learning.
|How NOT to Open Source||PyData Berlin||April 2023|
|Trolls, Edgelords and Assholes; Why Proactive Moderation Matters||How to Web Conference||September 2022|
|DevRel Book Club: A City is not a Computer with Erin Mikail Staples||DevRel Book Club: A City is Not a Computer with Erin Mikail Staples||August 2022|
|The Shared Responsibility of Tech Ethics||CodeLand||June 2022|
|Dev By Design: How to build a Personal Design System||Dev by Design||April 2022|