Could a future application one day help people get along with one another at work? A story about a meeting from the future The time is 8:25 AM on a workday, years from now. We join the weekly global team video-conference underway at a successful consumer-products company. I’ll spare you the busy agenda, but point out some novel highlights from your meeting:
Any way you look at it, whether Boston Dynamics, Sony, or another company leaps into the robotic service dog market, there is a clear need for a Service Robot able to perform the tasks of current service animals.
Reading time: 4 minutes 45 seconds Interest in the Ethics of AI, as reflected in Google Web Searches, has grown dramatically over the past couple of years. In the past week, many publications, including the New York Times, and Wall Street Journal have written about the Ethics of AI and applying ethical standards to real-life situations.
Now that my son is grown, married, living in another part of the country, and busy with his own complicated set of life challenges, we don’t get as much time to talk. So, when we occasionally do, it’s important to cover only what’s critical. I’m sure we’ll get to that someday. Meanwhile, in the few times we connect, the conversational flow channels toward old territory: we play an abbreviated version of the game “An App For That.” Since the advent of Smartphones, nothing has stimulated as much passion within our extended family as devising the TED-esque talking points about a newly-imagined app. Don’t judge us too soon. An…
Reading time: 5:00 Good News! AI isn’t as smart as many people think. Recognizing that lets us understand some of the economic dilemmas we see. It should also allow us to get closer to ‘truly autonomous vehicles’ (and other automated processes) more quickly than we otherwise would.
Reading Time: 4:45 Apex predators reside at the top of their food chain and have few or no predators of their own. We introduced the notion of Apex Internet Predators (or apex predators for short) and “Amazonization” here.
Microsoft and IBM show some insights while advances in AI assistants for doctors generate mixed emotions.
Data beats theory Here’s a new empirical study of the impacts of automation and resulting employment changes on high and low wage employees over time. Empirical studies are important because they replace conjecture with reality (but it’s easier to write a paper about conjecture.)
