You enter a dark forest
. Standing in front of you is:
A professor named Hal Daumé III (he/him).
He wields appointments in
Computer Science where he is a
Volpi-Cupal Professor, as well as
Language Science at
where he leads the TRAILS, the Institute for Trustworthy AI in Law & Society
(in Fall 2023 he's teaching Trustworthy ML;
past: AI (S23),
Human-AI Interaction (F22),
Just ML (F21)); he is also a Senior Principal Researcher the machine learning and fairness
groups at Microsoft Research NYC.
He and his wonderful advisees
like to study
questions related to how to get machines to becomes more adept at
human language (and artificial intelligence tasks more broadly),
by developing models and algorithms that allow them
to learn from data. (Keywords: natural language processing and machine
The two major questions that really drive their research these days are:
(1) how can we get computers to learn
through natural interaction with people/users?
and (2) how can we do this in a way that minimize harms
in the learned models?
He's discussed interactive learning informally in a Talking Machines Podcast
and more technically in recent talks;
and has discussed fairness/bias in broad terms in a (now somewhat outdated) blog post.
He is the author of the online textbook A Course in Machine Learning,
which is fully open source.
Hal is super fortunate to be a member of, and have awesome colleagues in the Computional
Linguistics and Information Processing Lab (which he formerly
the Human-Computer Interaction Lab,
and the Center for Machine Learning.
If you want to contact him, email is your best bet; you can
also find him on @haldaume3
on Twitter. Or, in person, in his office
If you're a prospective grad student or grad applicant, please read
his FAQ to answer some common questions.
If you're thinking of inviting him for a talk or event, please ensure
that the event is organized in an inclusive manner (inclusion rider).
More generally, if you are organizing a conference, workshop or other
event, you may wish to read the NeurIPS D&I survey
results (joint with Katherine Heller),
Humberto Corona's collection of resources/advice,
or two blog posts on this topic.
I acknowledge that I live and work on the ancestral and unceded lands of the Piscataway People, who were among the first in the Western Hemisphere to encounter European colonists, as well as the lands of the Lenape and Nacotchtank people.
A Rose by Any Other Name would not Smell as Sweet: Social Bias in Name Mistranslations
Sandra Sandoval, Jieyu Zhao, Marine Carpuat and Hal Daumé III
Conference on Empirical Methods in Natural Language Processing (EMNLP), 2023
What Else Do I Need to Know? The Effect of Background Information on Users' Reliance on QA Systems
Navita Goyal, Eleftheria Briakou, Amanda Liu, Connor Baumler, Claire Bonial, Jeffrey Micher, Clare R. Voss, Marine Carpuat and Hal Daumé III
TACO: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III and Furong Huang
The Impact of Explanations on Fairness in Human-AI Decision-Making: Protected vs Proxy Features
Navita Goyal, Connor Baumler, Tin Nguyen and Hal Daumé III
Large Language Models Help Humans Verify Truthfulness -- Except When They Are Convincingly Wrong
Chenglei Si, Navita Goyal, Sherry Tongshuang Wu, Chen Zhao, Shi Feng, Hal Daumé III and Jordan Boyd-Graber
More papers please!
AI UK: Doing better in data science – from algorithmic fairness to diversity
Anjali Mazumder, Shakir Mohamed, Danielle Belgrave, Maria De-Arteaga, and Hal Daumé III
The Alan Turing Institute AI UK Roadmap, March 2021
Coded Bias Panel Discussion at the University of Maryland
Margrét Bjarnadóttir, Nicol Turner Lee, Deborah Raji, Adam Wenchel, and Hal Daumé III (moderator)
Responsible AI Systems and Experiences
Abolfazl Asudeh (moderator), Hal Daumé III, Golnoosh Farnadi, Bernease Herman, Bill Howe (moderator), Yuval Moskovitch, Katie Shilton, and Jenn Wortman Vaughan
Panel at VLDB 2021
Tech Ethics in a Changing World
Catherine Bannister, Mary Lacity, Cindy Moehring, and Hal Daumé III
Northwest Arkansas Tech Summit, 2021
Language (Technology) Is Power: Exploring the Inherent Complexity of NLP Systems
Hal Daumé III and Sam Charrington (host)
TWIML AI Podcast, 2020
More talks please!
email: me AT hal3 DOT name skype: haldaume3
phone: 301-405-1073 twitter: haldaume3
office: IRB 4150 github: hal3
I can't reply to all prospective students
before emailing me.
credits: design and font inspired by Seth Able's LoRD, some images converted to ANSI using ManyTools, original drawing of me by anonymous.
last updated on four december, two thousand twenty three.