Futures of Responsible and Inclusive AI by Tania de Gasperis

Her research, as presented in her MRP paper, depicts gaps in current AI governance initiatives and how participatory foresight can address the need for diverse perspectives, long-term thinking of unintended consequences, and the potential to explore agility in foresight. Additionally, the paper includes the methodology and results of three foresight workshops used for the research work in this thesis. The workshop results centred around accreditations for governance or ethics, more public forums and public input, iteration labs as spaces for AI safety, and a desire for society to have more agency and communication with controlling bodies such as governments and industry.

Tania's continued research focuses on developing a foresight-informed framework with the adaptiveness and reflexivity of agile methods that robustly respond to emerging technologies such as AI. Additionally, the principles of participatory and responsible foresight nicely overlap with inclusive design and current industry efforts, tools and strategies for principles such as transparency, fairness, accountability, security, safety, and explainability. This insight can help us build more inclusive and responsible AI governance frameworks.

Other research work by Tania: https://scholar.google.com/citations?user=8thoVdAAAAAJ