aes24 International Evaluation Conference

Authors: Lyndal Sleep (Central Queensland University)

AI and other forms of digital technologies are being increasingly used in programs and services delivery. They promise increased efficiency, accuracy and objectivity, however these technologies can also cause significant harm and trauma, as seen in Robodebt. It is vital for evaluators to be aware of key questions to ask to prevent AI having unintended impact on program processes, outputs and outcomes, or cause harm to service users.

Objective
This session aims to support evaluation of AI assisted programs and services by introducing evaluators to a new and innovative trauma informed AI assessment tool.

Core argument
(1) AI is increasingly being used in programs and services, and understanding the resulting risks is essential for evaluators to assess whether services are meeting intended outcomes.
(2) many evaluators are unaware of what types of risks to look for when assessing AI assisted services, or what questions to ask - especially when conducting trauma informed evaluations.
(3) a practical trauma informed AI assessment tool has been developed by researchers from [Universities omitted], with funding from [omitted] to address this need, and will be briefly introduced.

A short paper session will:
(1) Highlight the problem that AI is increasingly being used to assist program and services delivery, but many evaluators are unaware of the main risks to consider when evaluating these services.
(2) Suggest the solution of a practical tool which considers these risks, with technological knowledge and within a trauma informed framework, that can be employed by evaluators.
(3) Introduce a trauma informed AI assessment tool, the method used to develop it, as well as its intended practical use by evaluators (both internal and external to organisations).

There will be 10 minutes for questions and discussion at the end of the presentation.