PhD Understanding Human Biases During AI
Universiteit Utrecht - Utrecht
Do you want to understand how and why humans interact with an AI to accelerate systematic reviews? If so, apply for this PhD position! This position is part of the bigger project “Transparent and Reproducible AI-aided - Volledige vacature bekijken
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PhD - Understanding human biases during AI
uu.nl - Utrecht - 26-04-2024
Naar vacature
Faculty of Social and Behavioural Sciences
Department:
Social Sciences
Hours per week:
36 to 40
Application deadline:
26 May 2024
Do you want to understand how and why humans interact with an AI to accelerate systematic reviews? If so, apply for this PhD position! This position is part of the bigger project “Transparent and Reproducible AI-aided Systematic Reviewing for the Social Sciences (TRASS)”.
Your job
The rapidly evolving field of AI offers promising solutions to the literature screening challenge using machine learning models, like active learning, and, very recently, large language models (LLMs). However, many of these AI-driven solutions emerge from tech companies that publish new and, hopefully, better models at an unprecedented rate. The rapidity of advancements in the field of AI outpaces meticulous scientific evaluations, leaving many methods unrefined and unproven. The challenge is twofold: keeping pace with these relentless innovations while collaboratively forging a comprehensive understanding of their implications.In the evolving landscape of AI-aided systematic tools (like ASReview), we need to explore the nuanced complexities and potential biases that arise when human discernment is coupled with the predictive capabilities of AI, aiming to foster a synergistic relationship that enhances the efficacy and reliability of the review process.
Therefore, in the subproject for which we are looking a PhD candidate, we will investigate questions like:
- Which biases - such as position bias or authority bias - do humans display when reviewing abstracts?
- How does knowledge about these biases generalize to other contexts, such as in doing research and university work generally.
- Should we replace human screeners with an AI (as predicted by OpenAI), or should we keep a human in the loop?
- How do (or should) humans interact with AI-aided screening models spotlighting potential biases inherent in AI-assisted processes?
- How can we reduce biases by humans and AI?
Your qualities
We are looking for an enthusiastic colleague who meets multiple of the following requirements:- You have (completed or almost completed) a Research Master’s degree in Psychology, Sociology, Methods & Statistics, Organisation Science, Economics, Management, Public Administration, or a similar study.
- You have the ambition to conduct excellent scientific research and are motivated to create an impact with your research.
- You have an affinity with transdisciplinary research.
- You have demonstrable affinity and experience with quantitative research such as (field/lab) experiments and/or questionnaires.
- You need an interest in systematic reviewing and AI-aided techniques, or have used software like ASReview, to accelerate the screening process.
- You have an affinity with or strong interest in machine learning / AI / NLP.
- You have a demonstrable affinity with open science, open-code and/or open-source software.
- You have experience with R (Markdown) or Python (Jupyter Notebooks).
- You are familiar with Github.
- You have excellent verbal and written communication skills in English (or Dutch), which you can prove with for instance your Bachelor's or Master's thesis.
- You are social, well-organised, communicative, and collaborative.
- You are interested in contributing to high-quality teaching, including supervising students, teaching lectures in data science and statistics.
Our offer
We offer:
- a collaborative, enthusiastic, and dedicated team that guids you in your research, teaching, and other tasks;
- high-quality PhD education, being part of a research school, following courses, presenting at international conferences, etc.;
- a position for 4-4,5 years (depending on the amount of teaching);
- a working week of 38 hours and a gross monthly salary between €2,770 and €3,539 in the case of full-time employment (salary scale P under the Collective Labour Agreement for Dutch Universities (CAO NU));
- 8% holiday pay and 8.3% year-end bonus;
- a pension scheme, partially paid parental leave and flexible terms of employment based on the CAO NU.
laid down in the CAO NU, Utrecht University has a number of schemes and facilities of its own for employees. This includes schemes facilitating
, leave schemes and schemes for
, as well as discounts on software and other IT products. We also offer access to additional employee benefits through our Terms of Employment Options Model. In this way, we encourage our employees to continue to invest in their growth. For more information, please visit
.
About us
A better future for everyone. This ambition motivates our scientists in executing their leading research and inspiring teaching. At, the various disciplines collaborate intensively towards major
. Our focus is on Dynamics of Youth, Institutions for Open Societies, Life Sciences and Pathways to Sustainability.
.
The
is one of the leading faculties in Europe providing research and academic teaching in cultural anthropology, educational sciences, interdisciplinary social science, pedagogical sciences, psychology, and sociology. Almost 7,000 students are enrolled in a broad range of
and
programmes. The Faculty of Social and Behavioural Sciences has some 1,100 faculty and staff members, all providing their individual contribution to the training and education of young talent and to the research into and finding solutions for scientific and societal issues. The faculty is located at
near the historical city centre of Utrecht.
The current project will be part of the DISC-AI-lab (
), one of the official
at Utrecht University. You will be officially appointed at the Methodology and Statistics Department of the Faculty of Social and Behavioural Sciences and will work one day per week in the AI-lab with Rens van de Schoot. The other days you work at the Utrecht School of Governance and will be part of the Public Management Research group, where Lars Tummers and Henrico van Roekel are also situated. You can work 1-2 days a week from home.
More information
For more information, please contactat
.
Please note that international candidates that need a visa/work permit for the Netherlands require at least four months processing time after selection and acceptance. Our
(ISD) can answer your questions about living in the Netherlands as
. Finding appropriate housing in or near Utrecht is your own responsibility, but the ISD may be able to advise you therewith. In case of general questions about working and living in The Netherlands, please consult the
.
Candidates for this vacancy will be recruited by Utrecht University.
Apply now
As Utrecht University, we want to be afor everyone. We value staff with diverse backgrounds, perspectives and identities, including cultural, religious or ethnic background, gender, sexual orientation, disability or age. We strive to create a safe and inclusive environment in which everyone can flourish and contribute.
To apply, please send your curriculum vitae, including a letter of motivation, via the ‘apply now’ button.
The first round of interviews takes place in June. An assessment might be part of the procedure. Our preferred start date is 1 September 2024.
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