Looking before we leap: Case studies
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Context

The Ada Lovelace Institute, the University of Exeter’s Institute for Data Science and Artificial Intelligence, and the Alan Turing Institute developed these mock AI and data science research proposals for a workshop inputting into their report Looking before we leap. The workshop found that case studies are useful training resources for understanding common artificial intelligence (AI) and data science ethical challenges.

How should these case studies be used?
In our report, we found that academic and corporate Research Ethics Committees (RECs) are struggling to review the full set of ethical challenges that AI and data science research can pose. One concern that members of RECs highlighted was a lack of training materials that touch on the kinds of ethical challenges AI and data science research can pose. To that end, we have developed this set of 6 case studies that represent hypothetical submissions to a Research Ethics Committee.

These case studies are for use by students, researchers, members of research ethics committees, funders and other actors in the research ecosystem to further develop their ability to spot and evaluate common ethical issues in AI and data science research. Their purpose is to prompt reflection on common research ethics issues and the societal implications of different AI and data science research projects.
Source Material

The case studies follows the template provided in The Turing Way, with five broad questions on:

  1. Project description

  2. Data & methodology

  3. Consent

  4. Privacy & security

  5. Further societal consequences

The case studies are entirely hypothetical; they do not reflect real projects, and any relation to an actual project is entirely incidental. This is to avoid subjecting any real project and its researchers to undue scrutiny. This comes at the cost of scientific feasibility. We – the authors of these hypothetical case studies – request that you look past the precise methodologies and the tone of the text, and focus on the potential substantial ethical issues these projects may raise.   
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