In this episode we get to talk with Nishant Bhajaria, author of Privacy by Design and leader of data privacy teams at Google, Uber, Netflix and Nike about designing and developing ways to protect your users and their data. Privacy by Design available on Manning Publications 35% off code: podaizen21 Nishant Bhajaria on LinkedIn IBM Trust Center for …

We all have implicit biases and assumptions that come into play whenever we're designing and building shtuff. Jen and Andrew share the sad, the horrifying and the sometimes amusing stories of what happens when we don't ask what we don't know and just keep on going without identifying our blindspots. Jen's Medium article on what the heck is Kubernet…

Andrew and Jen bounce ideas around with futurist Clayton Bunyard, Ph.D., about biological design thinking, weird skills we'll need in the future, STEM vs STEAM, and how video conferencing tools are going to get much, much better. The Future of Organizational Creativity by Clayton Bunyard, Ph,D. Microsoft Holoporter PeTal Magic Leap University of Ho…

Andrew asks Jen about her methods for helping teams vet and prioritize all the ways AI could be designed into their products.

Jen and Andrew get into the inner workings of a few simple AI applications and exactly HOW those magic-like experiences are built.

AI has done so many good things for us already. For Thanksgiving, Andrew and Jen reflect on how AI is improving our lives, our world, and our futures. 1. Examples of AI making our life better - 01:12 Saving us time - 01:56 Saving the world - 03:50 2. Things AI has made us more aware of - 07:50 Bias - 08:17 Diversity - 10:33 Behavorial Change - 12:3…

Three tales of AI nightmares and apocalyptic robots Andrew and Jen go to the dark places of our possible horrific futures with AI, discuss what it would take for them to become reality, and decide how scared you should really be before you go to bed tonight… Story 1: The Skynet Singularity of Doom (1:00) Story 2: Giving up Control (18:15) Story 3: …

Keith Vertrees, Director of User Research with a background in data science, talks data driven design, the data skills designers need, the business skills data scientists need, why we should spend 90% of our time identifying the problem, how data and design should function together, and Jen has the Earth shattering realization that Andrew is a data…

What's going happen as data and design teams work closer and closer together to continuously deliver AI? Will roles overlap? Will skills transfer? Do we need to get aligned on our meme references now or are we already meme compatible? 00:30 Roles on data science and design teams 14:00 The value of kicking off with a face-to-face workshop 23:00 Coul…

Why can’t I just launch my AI widget and be done? Andrew tells us about what to expect and plan for once you've set your AI free and talks through a hypothetical chatbot where new questions about GDPR came from users after the initial chatbot was deployed.

Did you know you can design your AI system to tell you how it needs to be fixed? In episode three we talk about some real world examples of false/positives, true/negatives and all the things to confuse your brain matrix. Plus, cool ways to get feedback from your users to improve your system!

00:00:51 - How designing for AI is the same as designing for "not AI" 00:06:20 - How designing for AI differs from other types of design 00:15:00 - The kinds of things AI can be used to design for 00:16:30 - Design for success with AI summary Episode References Indy Young, Describing Personas Jen's Advanced Design for AI Course…

Episode highlights 00:04:00 - My executive told me to add AI to my project, now what? 00:05:56 - Should I use AI or rules? 00:17:11 - Adding ML to your project