Moderated Political Economy + Tech fireside chat with Kate Sim, Research Director of UWA Law Tech & Policy Lab

Moderated Responsible AI fireside chat with Jen Gennai, founder of Responsible Innovation at Google

“Game design is a great way for us to understand ourselves better and the systems around us. In this session, Amy J. Wilson (Empathy Action Lab) will offer two case studies on research at the intersection of game design and systems change.”

Amy invited me to present part of her Stanford University Ethics, Tech, + Public Policy case study.

Join the next hashtag#possibilityproject episode (#50! 🎉) all about "AI: What are the Potential and Harm for Social Impact?" We will be joined by the brilliant Di Dang, Shijuade Kadree, and Mitch Stein, to discuss the many elements connected to the attraction to, power of, and potential harm embedded within AI.

There are definite benefits of AI technology that can and do benefit social good organizations and might even increase access to equitable resources. There are also dark elements of the tech such as ethics washing with "AI For Good" initiatives, the "move fast and break things" style of its development, lack of oversight and foresight to consequences, lack of savvy with adoption which can cause harm, and the potential for colonizing a new frontier.

Presented on human-centered AI to Masaya Suzuki, CEO, and Masato Kubo, CMO/CTO, and MonotaRO product teams

Tech Labs: Designing Human-Centered AI Products with Di Dang, Alex David Norton, Thryn Shapira, and Roxanne Pinto

Curious about designing human-centered AI products? Our People + AI Research (PAIR) team will share insights from the new People + AI Guidebook, a toolkit for making AI product decisions. We’ll walk through a real case study of how a product team used the Guidebook to design a new AI-driven feature, and you’ll learn how to assess whether a problem is a good fit for ML, collect representative training data, and help users understand how to interact with AI systems.

Presented interactive talk on AI design considerations for 850+ Alphabet Software Engineer audience

Hear from three nonprofit leaders as they discuss how they apply user experience research and design principles to help develop impactful and responsible AI products, highlighting their learnings on topics including user trust and explainability.

This panel of Google AI Impact Challenge grantees features Quill.org Founder & CEO Peter Gault, Wadhwani AI Product Manager Dhruvin Vora, and Skilllab Human-Centered Design Specialist Azza El Hayek in a conversation moderated by Di Dang, an Emerging Tech Design Advocate at Google.

“Curious about designing human-centered AI products? Our People + AI Research (PAIR) team will share insights from the new People + AI Guidebook, a toolkit for making AI product decisions. We’ll walk through a real case study of how a product team used the Guidebook to design a new AI-driven feature, and you’ll learn how to assess whether a problem is a good fit for ML, collect representative training data, and help users understand how to interact with AI systems.”

What is the role we as product creators play in responsibly building artificial intelligence-driven products?

Google’s People + AI Research team (PAIR) invites you to a workshop to help you gain a stronger understanding of how to approach design for AI. We will share insights from the newly published People + AI Guidebook, a resource Google product teams have utilized to navigate AI product decisions over the past year.

Through applying hands-on exercises, you will learn how to:

• Ensure that your AI model optimizes for the right thing

• Make sure your training data aligns with the user need you’re solving for

• Set your AI system up for success by helping users build the right mental models

• Define an AI explainability strategy to help appropriately calibrate user trust

You will leave with an understanding of how you can design AI products in a way that complements human expertise, so that your users feel in control of the technology, and not the other way around.

Co-presented talk on AI design as part of partner workshop event on equity design

Facilitated breakout session on participatory ML advocacy

Designing Human-Centered AI Products workshop

What role do designers play in building artificial intelligence-driven products that are human-centered, responsible, and inclusive? Join Google’s People + AI Research team for hands-on exercises and insights from the newly published People + AI Guidebook. Participants will leave with a stronger understanding of how to approach design for AI.

Delivered 90-minute “Best Practices for AI product decisions” workshop to Mercari’s AI Engineering team

Led workshop on:

What is the role we as designers play in building artificial intelligence-driven products that are human-centered, ethical, and inclusive?

Google’s People + AI Research team (PAIR) invites you to a workshop to help you gain a stronger understanding of how to approach design for AI. We will share insights from the newly published People+AI Guidebook, a resource Google product teams have utilized to navigate AI product decisions. Through hands-on exercises, you will learn how to determine if AI is the right solution for your user problem, introduce the system to the user and set expectations for system evolution, and explain how the AI system works and the impact confidence levels has on the user’s next steps.

Presented lightning talk on Designing Human-Centered AI Products

Moderated Q&A panel on designing human-centered AI products

Served as panelist for:

In this panel, we'll tackle how to achieve a more diverse speaker lineup with our own diverse panel of speakers! We already know why speaker diversity in design and tech is important, so this panel's focus will be real talk on event issues and how to overcome them. Let's discuss how to empower a more diverse lineup that creates a successful, safe event we all want to attend. Join our panel as they share their personal journeys to speaking and inclusive representation.