Sep 21, Tuesday, 10:00-11:15 am 

Blackboard link: https://us.bbcollab.com/guest/f567247c101145cebc6eaa937af2cecd 

 Sep 23, Tuesday, 10:00-11:15 am 

Blackboard link: https://us.bbcollab.com/guest/f567247c101145cebc6eaa937af2cecd  

On campus class at Seminar Room, AI Institute, 1112 Greene St, Columbia (5^th Floor; Science & Technology Building) 

Speaker Bio: 

Dr. Diptikalan Saha (Dipti) is a Senior Technical Staff Member and manager of Reliable AI team in Data&AI department of IBM Research at Bangalore. His research interest includes Artificial Intelligence, Natural Language Processing, Knowledge representation, Program Analysis, Security, Software Debugging, Testing, Verification, and Programming Languages. He received a  Ph.D. degree in Computer Science from the State University of New York at Stony Brook his B.E. degree in Computer Science and Engineering from Jadavpur University. His group’s work on Bias in AI Systems is available through AI OpenScale in IBM Cloud as well as through open-source AI Fairness 360.  

Related Material 

• Blogs:     
  • https://medium.com/@diptikalyan?p=5ce7347f5f75 
  • https://www.ibm.com/blogs/watson/2021/06/trustworthy-ai-assessment-mitigation/ 
  • https://www.ibm.com/blogs/watson/2020/10/how-ibm-makes-ai-based-on-trust-fairness-and-explainability/ 
•  Surveys:     
  • Fairness: https://arxiv.org/pdf/1908.09635.pdf     
  • Explainability: https://christophm.github.io/interpretable-ml-book/ 
  • AI Testing: https://www.researchgate.net/publication/334048996_Machine_Learning_Testing_Survey_Landscapes_and_Horizons 
  • Counterfactual: https://arxiv.org/abs/2010.10596 
•  Tools: 
  • AIF360: https://aif360.mybluemix.net/ 
  • AIX360: https://aix360.mybluemix.net/