Deep Fakes and Media Forensics Quiz

What is the primary concern with deep fakes as highlighted in the introduction?

• They blur the line between reality and fiction.

• They can easily be detected.

• They are only used for entertainment.

• They are too expensive to create.

What machine learning technique is commonly used in creating deep fakes?

• Decision Trees

• Support Vector Machines

• Generative Adversarial Networks

• Recurrent Neural Networks

Why have GANs become a popular tool for deep fake creators?

• They require minimal data.

• They are easy to implement.

• The data revolution provides ample training data.

• They are the only available technique.

When did deep fakes first start to gain attention?

• 2010

• 2020

• 2015

• 2017

Which organization is involved in researching media forensics to combat deep fakes?

• FBI

• DARPA

• CIA

• NASA

What is the name of the system developed to detect deep fakes?

• Sentry

• Protector

• Guardian

• Savvy

What is a potential risk of making deep fake detection systems widely available?

• They are too expensive to maintain.

• They could become obsolete.

• They might be used to create better deep fakes.

• They require too much data.

What is a key societal challenge posed by deep fakes?

• They are only used in politics.

• They are banned in most countries.

• They are too realistic.

• They can make reality seem like an opinion.

How does the media typically focus on deep fakes?

• By ignoring them completely.

• By highlighting their entertainment value.

• By focusing on their cost.

• By emphasizing their technological aspects.

What is uncertain about the future of deep fake technology?

• If it will remain a novelty.

• How quickly it will be controlled.

• If it will be banned worldwide.

• Whether it will become cheaper.