Human-Centered AI with Di Dang

Google Cloud Platform Podcast

Episode | Podcast

Date: Wed, 08 May 2019 00:00:00 +0000

<p><a href="https://twitter.com/markmirch">Mark Mirchandani</a> and <a href="https://twitter.com/texasmichelle">Michelle Casbon</a> take over the show this week to discuss AI and the PAIR Guidebook to Human-Centered AI. <a href="https://twitter.com/Neurotic">Mark Mandel</a> pops in on the interview, and <a href="https://twitter.com/dqpdang">Di Dang</a>, Design Advocate at Google, talks about her role in designing and building the guidebook with the intent of helping others create quality AI projects.</p> <p>Di describes human-centered AI as a practice of not only being conscious of the project being built, but also considering how this AI project will impact us as humans at the end of the day. We influence machine learning so much, both intentionally and unintentionally, and it’s our job to look at the project and results as a whole.</p> <p>In the guidebook, topics like data bias in machine learning, what design patterns work, how to establish trust with the user, and more are addressed. Di explains that the guidebook is a work in progress that will develop with input from users and advances in technology.</p> <h5 id="di-dang">Di Dang</h5> <p><a href="https://twitter.com/dqpdang">Di Dang</a> recently joined Google’s Design Relations team as a Design Advocate supporting emerging technologies such as augmented reality and machine learning. Previously, she worked as a Senior UX Designer and led the Emerging Tech group at Seattle-based digital agency POP, advising clients on how VR/AR, web/mobile, conversational UI, and machine learning could benefit their end users. With a degree in Philosophy and Religion, she considers herself an optimistic realist who is passionate about ethical design. You can find Di onstage doing improv or on Twitter <a href="https://twitter.com/dqpdang">@dqpdang</a>.</p> <h5 id="cool-things-of-the-week">Cool things of the week</h5> <ul> <li>Bringing the best of open source to Google Cloud customers <a href="https://cloud.google.com/blog/products/open-source/bringing-the-best-of-open-source-to-google-cloud-customers"> blog</a></li> <li>James Ward’s Cloud Run button <a href="https://github.com/jamesward/cloud-run-button">site</a></li> <li>Michelle’s favorite codelabs from I/O <ul> <li>TPU-speed data pipelines <a href="https://codelabs.developers.google.com/codelabs/keras-flowers-data/#0"> site</a></li> <li>Your first Keras model <a href="https://codelabs.developers.google.com/codelabs/keras-flowers-transfer-learning/#0"> site</a></li> <li>Convolutional neural networks <a href="https://codelabs.developers.google.com/codelabs/keras-flowers-convnets/#0"> site</a></li> <li>Modern convnets, squeezenet, with Keras with TPUs <a href="https://codelabs.developers.google.com/codelabs/keras-flowers-squeezenet/#0"> site</a></li> </ul> </li> </ul> <h5 id="interview">Interview</h5> <ul> <li>People + AI Guidebook <a href="https://pair.withgoogle.com">site</a></li> <li>PAIR <a href="https://ai.google/research/teams/brain/pair">site</a></li> <li>GCP Podcast Episode 114: Machine Learning Bias and Fairness with Timnit Gebru and Margaret Mitchell <a href="https://www.gcppodcast.com/post/episode-114-machine-learning-bias-and-fairness-with-timnit-gebru-and-margaret-mitchell/"> podcast</a></li> <li>Machine Learning Crash Course <a href="https://developers.google.com/machine-learning/crash-course/">site</a></li> <li>Google Clips <a href="https://store.google.com/us/product/google_clips?hl=en-US">site</a></li> <li>Google Brain Team <a href="https://ai.google/research/teams/brain/">site</a></li> </ul> <h5 id="question-of-the-week">Question of the week</h5> <ul> <li><a href="https://developers.google.com/actions/codelabs/">How do I get started with practical AI?</a></li> <li><a href="https://codelabs.developers.google.com/codelabs/chatbots-dialogflow-appointment-scheduler/index.html"> Build an Appointment Scheduler Chatbot with Dialogflow</a></li> </ul> <h5 id="where-can-you-find-us-next">Where can you find us next?</h5> <p>Michelle will be at <a href="https://events.google.com/io/">Google I/O</a> and <a href="https://kccnceu19.sched.com/event/MPgr">Kubecon Europe</a>.</p> <ul> <li>No I/O event in your area? You can <a href="https://docs.google.com/presentation/d/e/2PACX-1vReWDtj-yASOho5q7XC6lYY8af9wRa13-81mPaoSRodiRoCw4MKJnQExQ8GxyNyCQiPZpBprznPG4ex/pub?slide=id.g62811f3b0_18"> host one!</a></li> </ul>