Evaluate the positive impacts of mobile computing on society : Most Common AI Solutions and Threats

The video explores various attacks on AI systems across different industries, highlighting the vulnerabilities and potential threats. It discusses how AI is integrated into sectors like transportation, retail, and finance, and the specific risks associated with each. The video emphasizes the importance of understanding these threats to implement effective protection measures. It concludes with a call to action for securing AI solutions before they become widespread targets for cyberattacks.

What is a primary reason for hacking AI solutions?

• To improve AI algorithms

• To gain unauthorized access to data

• To reduce operational costs

• To enhance cybersecurity measures

How can autonomous cars be tricked according to research?

• By disabling the car's sensors

• By changing road sign appearances

• By altering GPS signals

• By hacking into the car's engine

What is a common method to bypass AI-based spam filters?

• Sending emails in bulk

• Exploiting poorly designed algorithms

• Encrypting email content

• Using outdated email clients

What is a potential risk of using facial recognition in retail?

• Faster checkout processes

• Unauthorized access through spoofing

• Increased customer satisfaction

• Improved inventory management

What can happen if a voice assistant misinterprets a noise as a command?

• It will reset to factory settings

• It will alert the user

• It will shut down automatically

• It can execute unintended actions

How can social media systems be manipulated according to researchers?

• By increasing server capacity

• By misclassifying comments with minor changes

• By altering user interface settings

• By changing the platform's code

Why might hackers target AI systems in the financial industry?

• To manipulate fraud detection systems

• To increase customer engagement

• To improve transaction speeds

• To reduce operational costs