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We’ve ____ a lot of ____ together, from the basics of neural networks to game playing, language modeling, and algorithmic bias.
covered/ground
As we’ve been learning about different parts of artificial intelligence as a field, there have been a couple themes that keep _____ __.
coming up
This is a pretty ___ ____, but lots of governments are taking it seriously and planning to grow education, research, and development in AI.
bold claim
AI is ____. It can help make our lives easier and sort of gives us superpowers.
awesome
Who knows what we can _____ with the help of machine learning and AI?
accomplish
One way to think about the future of AI is to ___ ____AI hasn’t reached yet.
consider milestones
Cruise control automatically ____ and _____ to keep the car at a constant speed, but everything else is on the human driver.
accelerates / decelerates
a human driver will need to take over if something goes wrong, like really bad weather or a ____ ____.
downed powerline
these levels are a way to ____ how far we’ve come, and how far our research still has to go.
evaluate
The interrogator talks to the hidden players and tries to ___ __ which is a human and which is a machine.
figure out
We do not wish to penalize the machine for its ___ to shine in beauty competitions, nor to penalize a man for losing in a race against an airplane.
inability
This idea suggests a ____ ___for AI
unified goal
This involves projects like teaching a robot to understand language, or teaching an AI system that models the stock market to read the news and better understand ____ ____.
market fluctuations
Some subfields are making progress more quickly than others and we’re seeing AI systems ____ __ in lots of places with awesome potential.
pop up
They predict AI _____healthcare costs, ______ education, _____ scientific discoveries, helping national defense, and more.
reducing / personalizing / accelerating
While imagining an AI/human ___ is exciting, we have to be realistic, too.
utopia
In many industries, automation doesn’t only ___ human activities, it can replace humans ____.
enhance / entirely
If self-driving ___ revolutionize transportation in the near future, will all those people lose their jobs?
vehicles
U.S. _____ ___ will likely keep rising, but manufacturing jobs have been decreasing a lot.
manufacturing output
Massive amounts of machines running these algorithms can have a ____ ____ ____.
substantial carbon footprint
On top of that, as we’ve discussed, you have to be pretty careful when it comes to trusting AI systems because they often end up with all kinds of ____ you may not want.
biases
Should it be allowed to track people with ____ ____ installed on cameras at intersections?
facial recognition
If statistics have shown that people who leave home late at night are more likely to ____ __ _____... and an AI knows you left (even though it’s just for some late-night cookie dough), should it call the police to watch you -- just in case
commit a crime
There’s a lot to ____ when it comes to the future of AI.
consider
Innovations in AI have ____ potential to make positive changes, but there are also plenty of risks, especially if the technology advances faster than the average person’s understanding of it.
awesome
It’s probably the most ____ to say that the future is... complicated.
accurate
We used some of the same machine learning technologies that the biggest companies use in their products, and that universities rely on for ___ ___ ____.
cutting edge research


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