Shownotes Transcript
Meet Michelle Carney, a Machine Learning User Experience Researcher at Google. Join us as we learn how her careers in music, neuroscience, teaching, and machine learning have informed her ability to understand how people use Machine Learning tools, and provide better feedback to help make these tools more useful, helpful, kind, and inclusive of all types of user experiences.
Resources: Visual Blocks for ML: https://goo.gle/3OfanzO) Tone Transfer: https://goo.gle/3On9xku) PAIR Guidebook: https://goo.gle/3Mx4Gff) Machine Learning and UX (MLUX) Meetup Resource: https://goo.gle/mluxresources) What is Machine Learning + UX?: https://goo.gle/42KWHB3) Stanford d.school on Designing Machine Learning: https://goo.gle/3OeRaOJ) TensorFlow website → https://goo.gle/3BwLZSN)
Michelle Carney Links Twitter: https://goo.gle/3WfxMDc) Linkedin: https://goo.gle/432u0PG)
Machine Learning and UX (MLUX) Meetup Resources: https://goo.gle/mluxresources) What is MLUX?: https://goo.gle/42KWHB3) MLUX twitter (@mluxeetup): https://goo.gle/436wGMo) MLUX meetup (you can see all of our past talks here!): https://goo.gle/41QpMts) MLUX youtube (all of our past recordings!): https://goo.gle/42Ipt5a) MLUX linkedin company page: https://goo.gle/45c5oWM)
Guest bio:
Michelle Carney is a Computational Neuroscientist turned User Experience (UX) Researcher, whose practice focuses on the intersection of Data Science and UX. Currently a Senior UX Researcher on Google’s Tensorflow Team, Michelle's projects focus on combining Machine Learning and UX. Her work includes Magenta’s latest Tone Transfer project and People + AI Research team. Outside of work, Michelle organizes the Machine Learning and UX Meetup, and teaches at the Stanford d.school on Designing Machine Learning.