Implications of AI and Privacy

In this episode, host Tyra Crockett Peirce speaks with Wei Jiang, an Oracle AI researcher and former university professor, about the privacy impacts of AI.

 

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Episode Transcript:

00;00;09;03 - 00;00;35;11
Welcome to the Oracle Academy Tech Chat. This podcast provides educators and students in-depth discussions with thought leaders around computer science, cloud technologies and software design to help students on their journey to becoming industry ready technology leaders. Of the Future. Let's get started. Welcome to Oracle Academy Tech Chat, where we discuss how Oracle Academy helps prepare our next generation's workforce.
 
00;00;35;13 - 00;01;05;09
I'm your host, Tara Pierce. In this episode, I speak with Wade Young, an oracle, an AI researcher, about the privacy impacts of A.I. To start off, can you give me a bit about your background and your role at Oracle? Sure. Thank you for inviting me today. So, before we join Oracle for 2022, I had been a computer science faculty member within the University of Missouri System for over 14 years.
 
00;01;05;12 - 00;01;38;03
My maintaining your background is privacy, preserving data analytics and applied cryptography currently. Hamer Research scientist at Oracle Labs East, working on privacy, preserving machine learning solutions, using secure multi-party computation techniques. We investigate price preserving solutions for both traditional machine learning tasks and fine-tuning language models as all around us. What are some of the AI impacts on personal privacy?
 
00;01;38;05 - 00;02;17;27
This is a great question. There are a few factors I can think of. One, from the data management perspective, requires a larger deal a large amount of data. Training data and the increasing amount of training data makes the data protection more and more challenging, especially when data come from multiple sources and contains sensitive information. The second factor I can think of is regarding the memorization capability of AI as reasoning become more accurate and use memory capability can potentially leak sensitive information.
 
00;02;17;29 - 00;02;48;05
For example, it happened in the past that a large language model response contains a real security number. Another issue is the fake image and news generated by A.I. So, AI generated images and attacks are very difficult to distinguish from the real ones. These fake images and news can cause a lot of harm to individuals during mutations and invading their privacy.
 
00;02;48;07 - 00;03;18;17
Another point is also enabling the development of smart aerosol layers and the email spams that could bypass the current malware detection systems. Why isn't a person, computer or mobile device these compromised the invasion of privacy as an agreed risk? Honestly, that is terrifying to hear. And it's so given everything is going on today that is a really terrifying thing to hear that we just can't tell the differences anymore.
 
00;03;18;17 - 00;03;52;02
And so, with AI, algorithms require large amounts of data to operate. How is data managed to maintain privacy? So why Burden thing to do is to really minimize the information flow so we can set up proper access control policies to eliminate unnecessary access to the data share only what is needed and keep data within their own silos. Secondly, we can apply data, anonymization, technique to hide a private information.
 
00;03;52;05 - 00;04;25;26
For example, we can suppress and generalize direct or indirect identifying information in front of data such as share security number, address, personal name, zip code, diagnosis. And we can also protect inundated by adding some random noise. Another tool we can use is called the encryption. So, a dating option as another layer of protection by ensuring