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?
Drone-as-a-service (DaaS) offerings are third party based unmanned aerial systems or vehicles that use embedded systems (hardware and software) to capture and analyze data for others.
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Part 2: The emotional hurdle AI systems lack anything even remotely like our emotional systems. How are they going to successfully co-exist and interact with the humans around them?
Is AI ready to compete with humans? The world is complex and unpredictable but our natural intelligence is surprisingly good at coping with reality’s twists and turns. Can AI do the same?
When I first got involved with Artificial Intelligence I was a young and somewhat naive Machine Translation researcher in the early 1980’s. At that time, AI was already going through its second round of big expectations.
Reading time: 4:30. There’s an Easter Rabbit hiding in plain sight in MIT Technology Review’s AI flow chart Anthropomorphizing When you talk about a thing or animal as if it were human, you’re anthropomorphizing. The Easter Bunny is an anthropomorphized rabbit. Net: Avoid, shun, be hypercritical of anthropomorphic thinking in general (and related to AI in particular) unless you are a: Philosopher Creative Entertainer Researcher (in areas such as biology, psychology or computer science) Let’s get real Real rabbits are not very much like the Easter Bunny. I live part of the year on Cape Cod in Massachusetts. In my town, there are wild Coyotes. Would it make sense…
Reading Time: 4 minutes. Minimum investment, maximum return and pretty fast too. Based on research below, we intend to adopt these findings ASAP for the Syndicate. While there are some very positive use cases, continue to cast a skeptical eye on much of the breathless business value chatter about AI today. Context We have seen many major AI research breakthroughs deliver significant new technical capabilities this decade. And more are coming. But most published market surveys inaccurately predict rapid, broad-spread enterprise technology adoption. That’s wishful thinking. These surveys are cognitively-biased exercises in deception. The authors deceive themselves. Most predictions of widespread adoption are self-serving. And wrong. We’ve been…