In-depth interviews with experts and discussing topics to learn how to design machine learning to be usable by everyone, and help define the space where Machine learning intersects with UX. Covering UX/UI design, development advice, and PM guidance for all things AI.
In this episode I talk with Murry Vince about the process of getting machine learning to work in medical applications.
In this episode I talk with Andrea Gagliano about how to avoid bias in data, rapid prototyping needs and other ways to improve models through data.
In this episode I talk with John C Thomas about his research at Nynex, and IBM, AI-ethics, and how it affects the books he writes
In this episode I talk with Cheenu about his experience doing UXR research for conversational UIs and the different UX challenges between consumer and enterprise AI.
In this episode we look at what makes people feel creeped out and how that translates over into AI software. We cover good design, interaction, lesson from horror houses, and the uncanny valley.
In this episode we look at AI principles different companies have implemented, and which ones are the most popular. Then we cover how to implement them for your company so they are followed.
In this episode we have broken down the different types of fear people exhibit during user testing, both irrational and legitimate, people usually have about AI. We cover what causes the fear, and what to change in the designs to take care of the problems.
In this episode we cover different metrics that are important for Developers, PMs, and UX when building a model and where they can go wrong.
We cover changes that are coming to the UX field because of AI. We look at how design, research, and UX management will all need to adapt to new processes.
We show how the normal software development cycle does not work with AI and how the modified dev model needs attention from UX at every step
Why creating a personality for your AI is important, be it recommendation system or AGI. We cover the steps needed to evaluate your system and come up with the best personality for your users.
I talk with Michelle Carney, founder of MLUX. Lecturer for AI design at d.School at Stanford, and Sr UXR at Google AIUX group. We discuss resources available and needs that have not been filled yet.
We cover all the steps needed for creating a conversational UI like a chatbot or Siri, Alexa, Google voice, and Cortana. We make sure to cover making a plan so a good user experience is the top priority.
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