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Skill Level Beginner
- [Instructor] AI is here, we all know that and it's powering video recommendations on Netflix, search results, ads on social media, and much more, but when people think of AI, they often imagine killer robots bent on destroying humanity and that is a scary scenario. That's because we don't realize the difference between Narrow Artificial Intelligence, what we have today, and Artificial General Intelligence, where machines are more like us and possibly become sentient or conscious.
Let's look at the difference. Artificial Narrow Intelligence or Narrow AI is single purpose. That is it's designed to accomplish a specific goal better than any human. Examples of Narrow AI include IBM Watson, when it beat the best players on Jeopardy, digital voice assistants or facial recognition. Narrow AI is based on using vast amounts of data to discover patterns and make predictions. And it's really, really, really good at completing a single task.
Artificial General Intelligence or AGI is when machines are able to apply learning from one task to another, similar to humans. AGI is what we most often see in movies or on TV or read about in science fiction. And it's something we should be concerned about because there are many important considerations associated with how and where it's deployed. Right now, there's no consensus among computer scientists as to how much longer it will take to achieve AGI, but we're not there yet so this is a time to begin imagining scenarios and asking difficult questions about human and robot rights, privacy, ethics, and values.
Of course, there are many ethical considerations around Narrow AI, as well. For instance, if you're in a self-driving car and a group of children rush into the street without looking, who should the car save? The passengers inside or the children? Now, what if the people crossing the road were elderly? MIT has set up a site called The Moral Machine to gather data on what decisions people think self-driving cars should be making in difficult situations and you can contribute to their research by providing your answers.
No doubt, you've read about the many benefits of AI in various publications, but there are just as many challenges and it's up to marketers and communicators to ask the toughest questions and consider the impact of AI on job loss, productivity, training, organizational culture, communications, ethics, and trust.