Research Associate in Human-AI Interaction (620444)

To engage in individual and collaborative research, designing focus groups, developing user interfaces and evaluating them, establishing a distinctive programme of research, analysing and interpreting data, maintaining records, documenting research output and disseminating results through regular publications in high-impact journals, books and conference proceedings; To develop and deliver training material for non-specialists.

FTE: 1
Term: Fixed Term (Until 31/01/2028)

The Department of Computer and Information Sciences (CIS) seeks to appoint a highly-motivated Research Associate in Human-AI Interaction to make a leading contribution to the project “Participatory Harm Auditing Workbenches and Methodologies (PHAWM)”. As part of this, the candidates are expected to organise focus groups of people who use cultural heritage material, design prototype interfaces for Explainable Gen-AI, and evaluate them for auditing misrepresentations, such as hallucinations, historical bias arising from the data, or lack of consideration of the context in which historical events have occurred.

PHAWM is funded by Responsible AI (RAI) UK and seeks to support diverse stakeholders without a background in AI, such as domain experts, regulators, decision subjects and end-users, undertake audits of predictive and generative AI, either individually or collectively. To enable stakeholders to carry out an audit, the project will produce workbenches that support them in assessing the quality and potential harms of AI. The participatory audits will be embedded in methodologies, which guide how, when and who carries out these audits. We will train stakeholders in carrying out participatory audits and work towards a certification framework for AI solutions. The project brings together a consortium of 7 academic institutions and 24 partner organisations to ensure that AI is safe and trustworthy. More information about RAI UK and keystone projects can be found at https://www.rai.ac.uk/funding/keystone.

You will be working with Dr Yashar Moshfeghi, Prof Ian Ruthven and Dr Leif Azzopardi and will be part of the Strathclyde iSchool. The Strathclyde iSchool is an interdisciplinary information science research group, investigating human information behaviour, interactive information retrieval (IR), conversational search and multimodal interaction. SISRG members publish at leading international venues e.g. SIGIR, ASIS&T, CHI, CHIIR and have a track record of attracting funding from a variety of sources e.g. UKRI, EU, industry etc. Much of our work is societal in nature, investigating human information need and use, and informing the design and delivery of public information systems and services.

Applicants from a range of research backgrounds will be considered, including but not limited to NLP, IR, HCI and LIS. Candidates will be expected to demonstrate significant promise in their research discipline with a record of achievement in their career to date, as demonstrated through publications in leading international venues.

From time to time, some teaching duties may be required. Strathclyde has flexible working arrangements. We also encourage applicants from a variety of backgrounds to apply, in particular those from underrepresented groups in computer science.

Informal enquiries about the post can be directed to Dr Yashar Moshfeghi, (yashar.moshfeghi@strath.ac.uk).

Formal interviews for this post will be held on 26/06/2024.

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