Tenure-Track Hiring in Human-Centered & Responsible AI @ UT Austin

[Matt Lease]

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, 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 facult...@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!

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MATT LEASE (he/him) 

Professor | School of Information

Co-Director | NSF-Simons AI Institute for Cosmic Origins 

Leadership Team | UT Good Systems (Responsible AI Initiative)

Principal Investigator | Protecting Information Integrity

The University of Texas at Austin 

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