The School of Information (iSchool) at The University of Texas at Austin
(UT Austin) seeks to hire up to two tenure-track faculty in Building
Human-Centered, Ethical, and Responsible AI Systems
https://apply.interfolio.com/156609, with positions starting in Fall
2025. Application review and scheduling of initial zoom interviews will
begin on November 1, 2024. The last day to apply is December 1, 2024.
Questions about this faculty search should be directed to
facultysearch@ischool.utexas.edu.
Please see the job link above for full details, but below is an extract
from it regarding the topic of the search.
Building AI Systems
We seek candidates who investigate human-centered artificial intelligence
(AI) systems through designing, building, and technically evaluating such
systems. Our call is intended to be broadly inclusive of the range of AI
subdisciplines and areas such as (but not limited to): machine learning
(ML), natural language processing (NLP), computer vision (CV), and
generative AI and large language models (LLMs), etc. Candidates should
develop AI systems in their research that advance support for human work or
activities, e.g., by augmenting and amplifying the capabilities of
individuals or groups of people.
Research directions in this area may include (but are not limited to):
- Innovative methods and applications that integrate AI with human
computation
- Complementary human-AI teaming and supportive workflow design
- Human-in-the-loop decision-making and decision-support
- AI-assisted data annotation
- Accelerating and improving human-centered AI evaluation protocols
- Imagining other novel forms of human-AI partnerships
Potential outcomes of such research may include (but are not limited to):
- Advancing fundamental understanding of the nature and range of
human-AI partnerships, as well as how best to design, build, and evaluate
them
- Investigating potential productivity benefits, such as the speed,
scale, quality, and/or economics of human labor with vs. without
AI-augmentation
- Advancing ethical and responsible design for system users, AI
supply-chain workers, and/or society at-large around issues such as:
trustworthiness and reliability; transparency and interpretability;
fairness and social justice (for both AI users and workers); and
accountability and algorithmic recourse
- Protecting private and sensitive data; the information environment and
information integrity; human safety, health, and wellbeing; and the
environment, via sustainable, green computing
We look forward to your application!
*MATT LEASE (he/him) *
Professor | School of Information
Co-Director | NSF-Simons AI Institute for Cosmic Origins
https://oden.utexas.edu/news-and-events/news/New-CosmicAI-Institute-led-by-University-of-Texas-Researchers-cosmic-discovery/
Leadership Team | UT Good Systems http://goodsystems.utexas.edu/ (Responsible
AI Initiative)
Principal Investigator | Protecting Information Integrity
https://goodsystems.utexas.edu/information-integrity
The University of Texas at Austin
p 512.471.9350 <%28512%29%20471-9350> | f 512.471.3971 | office: UTA
https://utdirect.utexas.edu/apps/campus/buildings/nlogon/maps/UTM/UTA/
5.536
mattlease.com | X @mattlease https://x.com/mattlease
The School of Information (iSchool) at The University of Texas at Austin
(UT Austin) seeks to hire up to two tenure-track faculty in Building
Human-Centered, Ethical, and Responsible AI Systems
<https://apply.interfolio.com/156609>, with positions starting in Fall
2025. Application review and scheduling of initial zoom interviews will
begin on November 1, 2024. The last day to apply is December 1, 2024.
Questions about this faculty search should be directed to
facultysearch@ischool.utexas.edu.
Please see the job link above for full details, but below is an extract
from it regarding the topic of the search.
*Building AI Systems*
We seek candidates who investigate human-centered artificial intelligence
(AI) systems through designing, building, and technically evaluating such
systems. Our call is intended to be broadly inclusive of the range of AI
subdisciplines and areas such as (but not limited to): machine learning
(ML), natural language processing (NLP), computer vision (CV), and
generative AI and large language models (LLMs), etc. Candidates should
develop AI systems in their research that advance support for human work or
activities, e.g., by augmenting and amplifying the capabilities of
individuals or groups of people.
*Research directions in this area may include (but are not limited to)*:
- Innovative methods and applications that integrate AI with human
computation
- Complementary human-AI teaming and supportive workflow design
- Human-in-the-loop decision-making and decision-support
- AI-assisted data annotation
- Accelerating and improving human-centered AI evaluation protocols
- Imagining other novel forms of human-AI partnerships
*Potential outcomes of such research may include (but are not limited to)*:
- Advancing fundamental understanding of the nature and range of
human-AI partnerships, as well as how best to design, build, and evaluate
them
- Investigating potential productivity benefits, such as the speed,
scale, quality, and/or economics of human labor with vs. without
AI-augmentation
- Advancing ethical and responsible design for system users, AI
supply-chain workers, and/or society at-large around issues such as:
trustworthiness and reliability; transparency and interpretability;
fairness and social justice (for both AI users and workers); and
accountability and algorithmic recourse
- Protecting private and sensitive data; the information environment and
information integrity; human safety, health, and wellbeing; and the
environment, via sustainable, green computing
We look forward to your application!
--
*MATT LEASE (he/him) *
Professor | School of Information
Co-Director | NSF-Simons AI Institute for Cosmic Origins
<https://oden.utexas.edu/news-and-events/news/New-CosmicAI-Institute-led-by-University-of-Texas-Researchers-cosmic-discovery/>
Leadership Team | UT Good Systems <http://goodsystems.utexas.edu/> (Responsible
AI Initiative)
Principal Investigator | Protecting Information Integrity
<https://goodsystems.utexas.edu/information-integrity>
*The University of Texas at Austin*
p 512.471.9350 <%28512%29%20471-9350> | f 512.471.3971 | office: UTA
<https://utdirect.utexas.edu/apps/campus/buildings/nlogon/maps/UTM/UTA/>
5.536
mattlease.com | X @mattlease <https://x.com/mattlease>