Just read an eye-opening study on socioeconomic bias in large language models! 📚💡 - LLMs often show bias against underprivileged groups. - The study uses a unique dataset called SilverSpoon. - Findings highlight a lack of empathy from LLMs towards disadvantaged individuals. #TechForGood #AI #Inclusion Additional Details: - Study Focus: Examined how LLMs handle scenarios involving socioeconomically disadvantaged individuals. - Dataset: SilverSpoon, with 3,000 diverse scenarios. - Key Insight: Most LLMs show a preference for privileged perspectives. - Call to Action: More research needed to mitigate these biases. - Implications: Biased AI can reinforce social inequalities. - Next Steps: Developers need to prioritize fairness and inclusivity in AI. - Community Role: Collaboration among researchers, policymakers, and developers is crucial.
GenAI Leadership @ AWS • Stanford AI • Ex-, Amazon Alexa, Nvidia, Qualcomm • EB-1 "Einstein Visa" Recipient/Mentor • EMNLP 2023 Outstanding Paper Award
🌟 Thrilled to share that our research on socioeconomic biases in LLMs has been spotlighted by New Scientist, the world’s most popular weekly science and technology publication! 🔗 https://lnkd.in/gugjVuMj 🔍 The article covers our paper on Socioeconomic bias in LLMs and discusses the challenges of LLMs acting as impartial judges in legal systems. 📝 Our paper: https://lnkd.in/gpTZaMRY 🎉 Shout out to my collaborators, Smriti Singh, Shuvam Keshari, and Vinija Jain, for their exceptional contributions to this pioneering work.