🔬 Research Summary by Souvic Chakraborty, Founder & CEO @Neurals.ai, Ph.D. scholar (TCS research fellow) in the Computer Science and Engineering department at IIT Kharagpur, India, jointly supervised by Prof. Animesh … [Read more...] about CRUSH: Contextually Regularized and User Anchored Self-Supervised Hate Speech Detection
Fair Generative Model Via Transfer Learning
🔬 Research Summary by Christopher Teo, a fourth year PhD student at the Singapore University of Technology and Design (SUTD). [Original paper by Christopher T.H.Teo, Milad Abdollahzadeh, and Ngai-Man … [Read more...] about Fair Generative Model Via Transfer Learning
Large Language Models Can Be Used To Effectively Scale Spear Phishing Campaigns
🔬 Research Summary by Julian Hazell, a Research Assistant at the Centre for the Governance of AI and an MSc candidate in Social Science of the Internet at the University of Oxford. [Original paper by Julian … [Read more...] about Large Language Models Can Be Used To Effectively Scale Spear Phishing Campaigns
Regulating Artificial Intelligence: The EU AI Act – Part 1 (i)
✍️ Article by Avantika Bhandari, SJD. Her research areas cover indigenous knowledge and its protection, human rights, and intellectual property rights. Overview: Since the original formulation and publication … [Read more...] about Regulating Artificial Intelligence: The EU AI Act – Part 1 (i)
Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application
🔬 Research Summary by Sunnie S. Y. Kim, a PhD student in computer science at Princeton University working on AI transparency and explainability to help people better understand and interact with AI … [Read more...] about Humans, AI, and Context: Understanding End-Users’ Trust in a Real-World Computer Vision Application