This site is to serve as my note-book and to effectively communicate with my students and collaborators. Every now and then, a blog may be of interest to other researchers or teachers. Views in this blog are my own. All rights of research results and findings on this blog are reserved. See also http://youtube.com/c/hongqin @hongqin
Thursday, July 4, 2024
Tuesday, July 2, 2024
Trustworthy ML
https://www.trustworthyml.org/symposium
https://www.youtube.com/playlist?list=PLNfU-a7sxIwvS7dhnOPdFtvhdNcrnufEW
Monday, July 1, 2024
responsive AI
Smits, Van der Zandt, Van Turnhous 2024
Technical: dataserts, algorithms
Interactional
Contextual: legal frameworks
Saturday, June 15, 2024
AI Fairness Tools
AI Fairness Tools
The development of AI brings immense potential but also raises important ethical and safety concerns. The Alan Turing Institute's guide, "Understanding Artificial Intelligence Ethics and Safety," provides valuable insights into the responsible design and implementation of AI systems in the public sector.
To support responsible AI innovation, the author/Dr. David Leslie shares a list of technical resources for exploring fairness tools:
1️⃣ University of Chicago’s open source bias audit toolkit: https://lnkd.in/ezkVKUTZ
2️⃣ TU Berlin and Eurecat's datasets and software for detecting algorithmic discrimination: https://lnkd.in/ewtBcNAa and https://lnkd.in/e45CQ2P2
3️⃣ Columbia University's Fairtest unwarranted association discovery platform: https://lnkd.in/eFtk6u4h
4️⃣ IBM’s Fairness 360 open source toolkit: https://lnkd.in/eZDm--sw
These resources, along with Leslie's guide, empower us to steer the course of our creations towards a better human future.
Thursday, February 1, 2024
open-ai GPT
Building an early warning system for LLM-aided biological threat creation
Building an early warning system for LLM-aided biological threat creation (openai.com)