The idea that AI is going to replace many of the jobs we have as humans is a pipe dream.
AI is still going to be used for a lot of things, and a lot more jobs are going to need a lot better tools than we have today.
We still need to have more accurate data and we need to be able to make more educated decisions about what to do with those data.
That means the human brain is going in a slightly different direction.
We need to start thinking about how to make machines think differently about things.
That can only happen if we take the human skills that we have and try to improve them.
That’s why we’re going to start talking about the big changes that AI needs, as well as the big challenges it faces.
The following is a transcript of our conversation.
In the interview below, we talk about: The future of AI as we know it (AI in the 21st century) The AI of today and what it means for businesses and workers (AI will be here in 5-10 years, and it will be used in many other fields) Why humans need to get smarter (we have to be smarter, but it’s not easy) What AI is really about and why we need it (getting smarter is not easy, but we need better tools) How to make sure our data is accurate (this is the biggest challenge in AI) Which industries need AI (companies, scientists, and employees) In general, what we’re saying is that AI has to start being used in a way that is smart.
That should mean it’s done right and it has to be automated.
So the question is: How do we do that?
How do you make sure that AI that is going into our future is smarter and better at doing what we want it to do?
In the coming weeks, we’ll look at a number of different AI-related issues, including: How AI is used in the job market What are the pros and cons of AI-based AI (AI-based automation and how we can design it to meet the needs of different industries) Can AI be used to replace human workers?
How can we use AI to improve the way we think about our work and our jobs?