This submission is the product of a collaborative process involving direct contributions from ADM+S researchers, as led and consolidated by Professor Kimberlee Weatherall (University of Sydney Law School).

This research explores how people with disability are collectively responding to the threats posed by algorithmic, data-driven systems - specifically their public sector applications.

Many of the systems and elements that platforms build into their products create safety risks for end-users. This report explores the role of four systems (recommender systems, content moderation systems, ad approval systems and ad management systems) in creating risks around eating disorders.

People increasingly rely on large language model (LLM) chatbots such as ChatGPT or Copilot to receive and organise information. But these chatbots often make mistakes or provide 'made-up' or false information. The author of this paper argues that policy-makers have responded to this challenge in a piecemeal fashion, and uses qualitative methods to examine these...

This paper contributes to the discussion on free speech in Generative AI. The paper reviews the policies of six major chatbots – AI21 Labs Chat (AI21 Labs), Gemini (Google), ChatGPT (OpenAI), Claude (Anthropic), Coral (Cohere), and Pi (Inflection) – and examines the type of content they prohibit.