Stanford University Artificial Intelligence Study Panel Quotes

In order to predict effectively, we need to use science. And the reason that we need to use science is because then we can reproduce what we're doing; it's not just wisdom or guesswork. And if we can predict, then we can engineer the future.

The recent fascination, I think, reflects the shift in approach by law enforcement officials to embrace technology as wholeheartedly as the rest of the world.

Big data is mostly about taking numbers and using those numbers to make predictions about the future. The bigger the data set you have, the more accurate the predictions about the future will be.

Interactive computers and software will, I think, provide a less costly method of doing some kinds of inquiry, in knowledge acquisition and even reasoning and interaction.

The world that our children living in is going to be completely different because of big data.

When we can commit a crime, we can also trigger debate. Cases go to courts. Media start covering the cases. But once you build smart environments where, if you meet a certain probabilistic profile, you won't even be allowed to board a bus, let alone commit a crime, we're perpetuating existing laws so they face no challenges or revision.

Computers are great tools, but they need to be applied to the physical world.

One of the things we did at PayPal was collaborative filtering and machine learning: looking at patterns of human behavior. We used it there to predict when people would try to cheat the system to get money. But you can predict pretty much any behavior with a certain amount of accuracy.

Google's founders have had a good eye for imagining what technologies will be significant in the near future. No one asked Google to develop self-driving cars, but it helped them with street views for Google Maps.

People are good at figuring out what's attractive, and computers are good at quickly searching and finding. You put them together, and bang!

When computers came along, I felt for the first time that I had the proper tools for the kind of theoretical work I wanted to do. So I moved over to that, and that got me into psychology.

Cops and robbers resemble each other, so there's not a lot to learn in terms of learning the logistics of committing the crime or investigating the crime.

As a society, we are underinvesting resources in research on the societal implications of AI technologies.

We have entered an era where the kinds of data and analyses that people run have gotten incredibly complicated. So you have researchers using sophisticated software programs that they probably don't understand but are generally accepted and everyone [in the field] uses.

There will always be plenty of things to compute in the detailed affairs of millions of people doing complicated things.

Crimes are not to be measured by the issue of events, but from the bad intentions of men.

Criminals are not the victims of society; society is the victim of criminals.

Mutilations of parts of Fingers, are proper to disable such as have abused their dexterous use of them, by Pocket-picking, Counterfeiting of Seals and Writings, etc. Mutilations of other parts, may serve to punish and prevent Adulteries, Rapes, Incests, etc. And the smaller Corporal pains, serve to punish those, who can pay no pecuniary mulcts.

Profiling is a means for telling whom you have to worry about.

We think that computer models represent reality especially if we developed the models.

The ability to foretell what is going to happen tomorrow, next week, next month, and next year – and to have the ability afterwards to explain why it didn’t happen.

Criminals don't care what the law is.

We think machine learning, as it relates to healthcare and life sciences, is extraordinary.

We can't get at crime unless we know what language it speaks. Otherwise, we are just suppressing the cough, not curing the disease.

I think the next massive wave of value creation will be when you can get a manufacturing company or agriculture devices company or a health care company to develop dozens of AI solutions to help their businesses.