Josh: It's useful to get to know sort of broadly how machine learning works the different types of models you don't have to like learn the math behind them but I think it's useful to understand what they're good at and what they're bad at. He says that if there are algorithms that your organization is working with or starting to play with getting a little bit of hands-on time with them is helpful. Josh: All the big technology companies when you look at Microsoft or Google or Amazon or IBM they all are not only in sort of a race to come up with the best machine learning algorithms for speech recognition, natural language processing and computer vision they also share those algorithms because
Josh Clark enlightens us to everything we need to know about the current state of UX in AI. He takes us on an unsettling stroll through uncanny valley. He encourages us to let machines do what they're really good at, and humans do what they're really good at. He guides us into how to begin getting our hands dirty with AI/Machine-Learning. He also articulates how our software/machines are embedded with values, and inspires us (for future's sake) to be intentional about the kinds of values we embed into them.
- Josh passes the Turing Test (07:33)
- What is AI/Machine Learning? (10:04)
- Is AI’s uncertainties driving engineers nuts? (18:28)
- Listener Q: How do we address AI's failure in presenting errors? (27:00)
- Taking a stroll down "uncanny valley” + “mechanophilia" (34:35)
- Is there hope for the UX of Voice UI? (42:05)
- Will the machines we’ve built eventually overtake and destroy us? (55:08)
- Will AI eventually take our jobs? (68:35)
- Is there a specific area of focus that will benefit designers interested in AI? (77:50)
- Listener Q: At what point in the AI development process should UX get involved and how? (91:09)
- Do we take these awesome technologies for granted? If so, why do we do that? (100:13)
- If today was your last day, what would be your final plea to designers and developers building the future of AI? (105:03)
Check out the detailed show notes including the transcript at userdefenders.com/uxai
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