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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