Today we’re joined by Alex Hanna, the Director of Research at the Distributed AI Research Institute (DAIR). In our conversation with Alex, we discuss the topic of AI hype and the importance of tackling the issues and impacts it has on society. Alex highlights how the hype cycle started, concerning use cases, incentives driving people towards the rapid commercialization of AI tools, and the need for robust evaluation tools and frameworks to assess and mitigate the risks of these technologies. We also talked about DAIR and how they’ve crafted their research agenda. We discuss current research projects like DAIR Fellow Asmelash Teka Hadgu’s research supporting machine translation and speech recognition tools for the low-resource Amharic and Tigrinya languages of Ethiopia and Eritrea, in partnership with his startup Lesan.AI. We also explore the “Do Data Sets Have Politics” paper, which focuses on coding various variables and conducting a qualitative analysis of computer vision data sets to uncover the inherent politics present in data sets and the challenges in data set creation.
The complete show notes for this episode can be found at twimlai.com/go/649.
Are LLMs Overhyped or Underappreciated? with Marti Hearst - #626
Are Large Language Models a Path to AGI? with Ben Goertzel - #625
Open Source Generative AI at Hugging Face with Jeff Boudier - #624
Generative AI at the Edge with Vinesh Sukumar - #623
Runway Gen-2: Generative AI for Video Creation with Anastasis Germanidis - #622
Watermarking Large Language Models to Fight Plagiarism with Tom Goldstein - 621
Does ChatGPT “Think”? A Cognitive Neuroscience Perspective with Anna Ivanova - #620
Robotic Dexterity and Collaboration with Monroe Kennedy III - #619
Privacy and Security for Stable Diffusion and LLMs with Nicholas Carlini - #618
Understanding AI’s Impact on Social Disparities with Vinodkumar Prabhakaran - #617
AI Trends 2023: Causality and the Impact on Large Language Models with Robert Osazuwa Ness - #616
Data-Centric Zero-Shot Learning for Precision Agriculture with Dimitris Zermas - #615
How LLMs and Generative AI are Revolutionizing AI for Science with Anima Anandkumar - #614
AI Trends 2023: Natural Language Proc - ChatGPT, GPT-4 and Cutting Edge Research with Sameer Singh - #613
AI Trends 2023: Reinforcement Learning - RLHF, Robotic Pre-Training, and Offline RL with Sergey Levine - #612
Supporting Food Security in Africa Using ML with Catherine Nakalembe - #611
Service Cards and ML Governance with Michael Kearns - #610
Reinforcement Learning for Personalization at Spotify with Tony Jebara - #609
Will ChatGPT take my job? - #608
Geospatial Machine Learning at AWS with Kumar Chellapilla - #607
Create your
podcast in
minutes
It is Free
20/20
The Dropout
Ten Percent Happier with Dan Harris
World News Tonight with David Muir
NEJM This Week