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User Experience Researcher

Remote (US)

At the Digital Safety Research Institute (DSRI) we help people keep themselves safe and secure from digital threats. Our grand challenge is “safety at the human-digital interface”. This means our first concern is always the people who use or interact with digital technologies. That’s why having an excellent UX Researcher join our team is so important. The UX Researcher will craft interfaces that turn digital privacy, security, and safe and responsible AI from abstract or hard-to-understand concepts into easily digestible information that drives positive behavior change.

As the User Experience Researcher, you will play a key role in the rapid growth of Underwriters Laboratories as you:

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Research Collaborator

Remote (US)

DSRI is looking for contract collaborators to help us build open science responsible AI assessments as part of a cross-disciplinary team of researchers. You will develop automated safety evaluations for systems built with large language models (LLMs) and other technologies more tailored for specific purposes. You will focus on systems that people will interact with regularly, and not the underlying models. Evaluations will become part of a larger process for the dynamic evaluation of digital systems.

We have three main requirements for the work:

  1. Focus on tangible, observable risks (or benefits) that people may experience because of some system, whether indirectly or through direct use;

  2. Produce evaluations with the properties of rigor, automated evaluation, reproducibility, and scale; and

  3. Inform statements about system safety that are meaningful to non-experts.

This project will produce a concrete set of metrics to evaluate AI system safety and a means for the larger digital safety engineering community to improve upon them. You will be supported by a growing team of research engineers with infrastructure scaling your evaluations to a large number of systems.

We are seeking people to join us on this project as short-term contractors. People with experience in computational social science, data science, machine learning research, and related fields may be particularly interested in this opportunity. If this sounds like the right challenge for you, please contact [email protected] with a resume and a few digital system categories you are prepared to assess.

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