- [uplifting music, female voice narrates] Lately everyone's talking about artificial intelligence, or AI, and how it could change things. But spoiler alert, at Google, AI's not that new at all. We first used it in 2001 when we launched
our spell-check system on Google Search. Today, AI is in many Google products
that billions of people already use. Historically, AI was used to understand
and recommend information. Now, generative AI can help us create new content such as images, music, and
code, all with a simple prompt. But as with anything new, it's important
to understand the do's and don'ts so you can get the most out
of generative AI responsibly. When you interact with generative AI,
you'll enter a prompt, and the response might seem so unique
you may wonder if it's human, but AI can't think for itself or feel emotions. It's just great at picking up patterns.
This is called training. Take, for example, a text to image model.
It learns what a sneaker is through being trained on
millions of sneaker photos. Over time, the model recognizes that
sneakers are things humans wear on their feet with laces, soles, and often a logo. This allows the model to take an input such as generate an image of a sneaker with a pizza charm. Connect what it's learned about
sneakers, pizza and charms, and generate an image, even if it's never
seen an image exactly like that before. Experiences powered by generative AI can
help you kickstart the creative process, but they're not there to do the work for
you. That's your role as the creator. To get started, you might use AI to ask
questions you didn't think could be answered, like, which came first, the chicken or the egg? Or get help identifying that animal species
you're curious about by using an image. It can even help you
brainstorm creative ideas for that prequel you wanna
write about your favorite movie. Generative AI is a work in progress,
and it can make mistakes. It may make things up. This
is known as a hallucination. Say you ask, "Who will be
the top gymnast in 2035?" The response may predict someone
even though there is no way to truly know. It may also misunderstand things. For instance, you ask for information about bats. It might tell you about the
type that's used in baseball, or those winged mammals that live in caves. Always check information that's presented as fact. When in doubt, double check it with Google Search. If you see something that's not right, flag it. Many of our generative AI
products have reporting tools. Your feedback helps improve
the experience for everyone. Generative AI is a quickly evolving technology,
and we're committed to developing it responsibly. To get the most from your AI experience,
stay in the loop on the latest product updates and learn about our guiding principles at ai.google That's it. Now you're ready to
practice what you've learned about generative AI and experiment
with it responsibly. Have a great time.
