Data Science at Home
Data Science at Home
Francesco Gadaleta
Humans vs. Bots: Are You Talking to a Machine Right Now? (Ep. 273)
49 minutes Posted Nov 25, 2024 at 5:01 am.
Intro
Guests: Souradip Chakraborty and Amrit Singh Bedi
Distinguish Text Generation By AI
Research on Safety and Alignment of Generative Model
Tools to Detect Generated AI Text
Water Marking
Challenges in Detecting Large Documents Generated by AI
Number of Tokens
Adversarial Attack
True Positive and False Positive of Detectors
Limit of Technologies
Future of AI Detection Techniques
Closing Thought
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49:33
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Show notes
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.
 
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