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Learn about generative AI and what distinguishes it from traditional AI. We’ll also discuss the ethical concerns this new technology raises.
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[MUSIC]
0:00
Hey, what's up?
0:09
My name is Dan, and
0:09
I'm a UX designer as well as
a content producer here at Treehouse.
0:11
In this video, I wanna share
a few AI tools for designers.
0:14
Tools that can help us
be more productive and
0:19
efficient when working on our projects.
0:21
We'll also touch on the difference
between generative AI and traditional AI,
0:23
as well as some of the ethical
concerns around generative AI.
0:27
So if you're ready to get started,
0:30
let's jump right in to see
what the hype is all about.
0:33
So first things first, generative AI is
currently stealing the spotlight online.
0:36
From chatbots like ChatGPT and Google Bard
to groundbreaking text to image generators
0:42
like Midjourney and Adobe Firefly,
0:47
we're witnessing a seismic shift in how
technology and creativity intertwine.
0:49
And it's not just hype, AI is making its
way into the workflow of creatives and
0:53
fields all over the world, from writers
and designers to developers and
0:57
filmmakers.
1:01
Generative AI tools were even used
to create the title sequence for
1:02
Marvel's Secret Invasion, crazy, right?
1:06
But what is generative AI and
1:08
how does it differ from the traditional
AI that we may be used to?
1:10
Generative AI is a subset of
artificial intelligence that focuses on
1:15
the creation of content, be it images,
music, text, or even design layouts.
1:19
Unlike traditional AI, which is more about
recognizing patterns, analyzing data,
1:24
and making predictions, generative AI
actively produces new original content.
1:29
Think of it as the difference between
reading a book and writing one.
1:35
Traditional AI might be able to
understand and summarize a book,
1:38
while generative AI aims
to write one from scratch.
1:42
Generative AI is a powerful tool that
can be used to create realistic and
1:45
creative content.
1:49
However, it also raises a number
of ethical considerations.
1:51
Authenticity, it can be difficult to
distinguish between human created and
1:54
AI-generated content.
1:59
This can lead to problems
such as plagiarism and
2:01
the spread of misinformation.
2:04
It is important to be transparent about
the use of AI-generated content and
2:05
to tag it accordingly.
2:10
Originality, AI models are trained on
large data sets of existing content.
2:11
This means that they can sometimes reduce
content that is unoriginal or derivative.
2:16
It is important to be aware of this and
to give credit to the original creators of
2:21
the content that is used to
train AI models when possible.
2:25
Intention, the intention behind the use of
AI-generated content is also important.
2:28
Is it being used to enhance or
replicate existing content, or
2:33
is it being used to deceive or mislead?
2:36
It is important to be transparent
about the intention behind the use of
2:39
AI-generated content and
to avoid using it for malicious purposes.
2:43
Fair use and copyright,
2:46
the use of AI-generated content can also
raise copyright and fair use issues.
2:48
It is important to understand
the relevant laws and regulations, and
2:52
to avoid infringing on
the copyrights of others.
2:56
Ethical guidelines,
2:59
there is no one-size-fits-all approach
to the ethical use of generative AI.
3:00
However, there are a number of ethical
guidelines that can be followed.
3:04
These guidelines should be developed
in consultation with stakeholders and
3:09
should be regularly reviewed and updated.
3:13
As we continue to explore
the potential of generative AI,
3:15
it is important to be mindful
of the ethical implications.
3:18
By following ethical guidelines and
being transparent about our practices,
3:21
we can help to ensure that this
technology is used for good.
3:26
Now that we have a basic understanding,
let's dive into some of the top AI tools
3:31
for designers that leverage
the power of generative AI.
3:35
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