In this episode of Data Science at Home, host Francesco Gadaleta dives deep into the evolving world of AI-generated content detection with experts Souradip Chakraborty, Ph.D. grad student at the University of Maryland, and Amrit Singh Bedi, CS faculty at the University of Central Florida.

Together, they explore the growing importance of distinguishing human-written from AI-generated text, discussing real-world examples from social media to news. How reliable are current detection tools like DetectGPT? What are the ethical and technical challenges ahead as AI continues to advance? And is the balance between innovation and regulation tipping in the right direction?

Tune in for insights on the future of AI text detection and the broader implications for media, academia, and policy.

Chapters

00:00 - Intro

00:23 - Guests: Souradip Chakraborty and Amrit Singh Bedi

01:25 - Distinguish Text Generation By AI

04:33 - Research on Safety and Alignment of Generative Model

06:01 - Tools to Detect Generated AI Text

11:28 - Water Marking

18:27 - Challenges in Detecting Large Documents Generated by AI

23:34 - Number of Tokens

26:22 - Adversarial Attack

29:01 - True Positive and False Positive of Detectors

31:01 - Limit of Technologies

41:01 - Future of AI Detection Techniques

46:04 - Closing Thought

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