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…
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.
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.
Reading Time: 5:15 AI is at Peak Hype. Yes, one day we will have autonomous transportation pods and ubiquitous language translation services. Just not yet. For now, focus CRM/AI applications on tactics, not bold strategic moves. AI Hype > AI Reality
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.
The social impact of Artificial Intelligence hinges on the potential it has for both competition and collaboration with the human world. If left to develop unchecked its impact can be far-reaching and deeply destabilising. Maybe we should look before we leap, and consider the consequences of letting these new, more powerful and more autonomous machines loose on our world?
Imagine if you could make your mistakes in virtual scenarios instead of in reality.
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.)