An Ecosystem Approach to Ethical AI and Data Use: Experimental reflections

Four investment areas for ethical AI: Transdisciplinary opportunities to close the publication-to-practice gap

“…Almost all people who contribute to AI creation do so through a parent organization, such as a corporation, university, hospital, or governmental agency. AI teams repeatedly report that their organizations' financial requirements, expectations, and compensation structures are not compatible with the investment necessary to fully grapple with the ethical problems their AI products pose (Findlay and Seah, 2020;Rakova et al, 2021). In fact, Ethical AI work is often done on a volunteer basis, because there is not support for it to be completed as part of formal job descriptions (Rakova et al, 2021).…”

“…Even when facilitators are available, for the deliberations to be instructive, participants have to be given resources before, during, and after the process to help them develop interpersonal skills supporting introspection, openness to feedback, and participation in sometimes emotionally-charged disagreements (Smith and Kouchaki, 2021). The success of such efforts are deeply impacted by whether the participants feel psychologically safe and are empowered to take actions based on the results of the deliberations (Findlay and Seah, 2020; Smith and Kouchaki, 2021). These types of issues have been largely left out of Ethical AI conversations, allowing them to thwart Ethical AI Publication-to-Practice efforts (Rakova et al, 2021).…”