Building on work in social services on trauma-informed practice, the research behind this report identified key principles and a practical framework that framed AI design, development and deployment as a reflective, constructive exercise that results in algorithmic supported services to be cognisant and inclusive of the diversity of human experience, particularly those who have experienced...

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.