David Yakobovitch joins the show to talk about the evolution of data science tools and techniques, the work heās doing to teach these things at Galvanize, what his HumAIn Podcast is all about, and more.
David Yakobovitch: Sure. So human-centered AI as a term just became big in the market in the last year. It became big because Stanford said āWeāre gonna launch the HAI Instituteā, their own human-centered AI institute with Fei-Fei Li, whoās been a professor at Stanford for many years, and ran Google Labs for a few years as well⦠And the intention is really thinking about the future, because Stanford, and even other major institutions like MIT with CSAIL are thinking about āWhat is gonna happen when technology is everywhere?ā The elimination is already happening with jobs, and itās not just in the U.S.
I recently had a colleague traveling in Shenzhen, China, and they stayed at the J.W. Marriott, a premium, ultra-luxury hotel, part of the Marriott Bonvoy brand. And when at the hotel, that individual wanted to get room service. What did the J.W. Marriott do there? Now they have robotic butlers that drop off the latest diet Coke that you like, or your meal. They no longer have humans going from rooms. Those robotic butlers have computer vision, they can press the elevator button, go in, ring your doorbell, drop the food off, and they donāt have to wait⦠So it provides greater access for on-demand service, 24/7.
I mention that because thatās why I think Stanford and MIT and other institutions have moved in on this human-centered AI movement, where ā look, weāre moving to AI; we all get it, that is the future. And sure, thereās some hype; itās gonna be slower and faster in certain segments than we think or expect. But if we donāt start placing diverse opinions into these processes early on, thinking about bias and how we can make sure the systems work for all people, then weāre gonna slip behind.
So by thinking about that, you can say āWhen I design the process, does it work for someone whoās 75 years old AND someone whoās 7 year old? Am I designing a process that can move in different terrains? Is the product going to be one that works across multiple languages?ā Anything that is non-accessible needs to be accessible with AI. The reason is because otherwise youāre excluding different cultures.
Today we serve all cultures, primarily by hiring people who speak different languages. If you travel to Disney World or Disneyland, you get that. They have hundreds of fantastic park service individuals who speak different languages and support you as tour guides throughout your journey. But in the future, that could just be a soundpiece with different languages.
The challenge is we have to make sure weāre being accessible for all, and starting to design technology thatās enabling humans at the onset. One example thatās been a failure, that has been quite prominent in the news, is how Apple with Siri - their audio-enabled assistant - never had an Icelandic language for Iceland. So when you were a kid - now as alpha generation, or generation Z, growing up, you were using Siri, the human language of English, to communicate with Siri. So youāre speaking in English, but not Icelandic, because Icelandic didnāt exist for Siri. And what that meant is theyāve shown now that the Icelandic language is becoming extinct in Iceland⦠Because kids do not wanna learn it, and therefore parents are not gonna teach it, and before you know it, weāre having the diaspora of culture appearing again as a result of technology.
I like to think back to one of my favorite authors, Jared Diamond. Heās written āGuns, Germs, and Steelā, āCollapseāā¦