Transparency Report Update: January – June 2025

Trust & Safety Library - Trust & Safety Professional Association

Welcome to the Trust & Safety Library! We use this space to collect articles, blog posts, journal articles, lectures, podcasts, and websites that trust and safety professionals may find useful in developing policies, supporting moderators, building systems to detect violations, and generally deepening their practice. We welcome your submissions and feedback. This project was initially

Four Functional Quadrants for Trust & Safety Tools: Detection, Investigation, Review & Enforcement (DIRE) <div> <br> </div>

Public discourse and regulatory debates about online trust and safety have long been dominated by a focus on rules, not tools: preoccupied mostly by the questio

Bluesky 2025 Transparency Report - Bluesky

Throughout 2025, our Trust & Safety work was guided by the premise that social media should serve the people using it. Our transparency report provides data and details about those investments, and the progress we made this year.

AI Companies Should Report Pre- and Post-Mitigation Safety Evaluations

The rapid advancement of AI systems has raised widespread concerns about potential harms of frontier AI systems and the need for responsible evaluation and oversight. In this position paper, we argue that frontier AI companies should report both pre- and post-mitigation safety evaluations to enable informed policy decisions. Evaluating models at both stages provides policymakers with essential evidence to regulate deployment, access, and safety standards. We show that relying on either in isolation can create a misleading picture of model safety. Our analysis of AI safety disclosures from leading frontier labs identifies three critical gaps: (1) companies rarely evaluate both pre- and post-mitigation versions, (2) evaluation methods lack standardization, and (3) reported results are often too vague to inform policy. To address these issues, we recommend mandatory disclosure of pre- and post- mitigation capabilities to approved government bodies, standardized evaluation methods, and minimum transparency requirements for public safety reporting. These ensure that policymakers and regulators can craft targeted safety measures, assess deployment risks, and scrutinize companies’ safety claims effectively.

Encryption + Trust & Safety reading list (updated 2026-05-20)

Building the safety foundations for India’s agentic future

Last year, through Google’s Safety Charter for India’s AI-led transformation, we set out our commitment to building trust into India’s digital growth. We also showed how…

Clear, Compelling Arguments: Rethinking the Foundations of Frontier AI Safety Cases

This paper contributes to the nascent debate around safety cases for frontier AI systems. Safety cases are structured, defensible arguments that a system is acceptably safe to deploy in a given context. Historically, they have been used in safety-critical industries, such as aerospace, nuclear or automotive. As a result, safety cases for frontier AI have risen in prominence, both in the safety policies of leading frontier developers and in international research agendas proposed by leaders in generative AI, such as the Singapore Consensus on Global AI Safety Research Priorities and the International AI Safety Report. This paper appraises this work. We note that research conducted within the alignment community which draws explicitly on lessons from the assurance community has significant limitations. We therefore aim to rethink existing approaches to alignment safety cases. We offer lessons from existing methodologies within safety assurance and outline the limitations involved in the alignment community's current approach. Building on this foundation, we present a case study for a safety case focused on Deceptive Alignment and CBRN capabilities, drawing on existing, theoretical safety case "sketches" created by the alignment safety case community. Overall, we contribute holistic insights from the field of safety assurance via rigorous theory and methodologies that have been applied in safety-critical contexts. We do so in order to create a better foundational framework for robust, defensible and useful safety case methodologies which can help to assure the safety of frontier AI systems.

Trust & Safety Curriculum - Trust & Safety Professional Association

The Trust & Safety Curriculum defines core concepts, terms, & standard practices of body of knowledge we call “trust and safety.”

Trust & Safety Curriculum - Trust & Safety Professional Association

The Trust & Safety Curriculum defines core concepts, terms, & standard practices of body of knowledge we call “trust and safety.”

The Trust & Safety Teaching Consortium

Trust and Safety Teaching Consortium

Trust & Safety Tycoon

Manage your team, set policies, make investments, and tackle the challenging world of Trust & Safety

Safety isn’t safety without a social model (or: dispelling the myth of per se technical safety) — AI Alignment Forum

As an AI researcher who wants to do technical work that helps humanity, there is a strong drive to find a research area that is definitely helpful so…

The Safe Social Media Act needs major fixes

Safety legislation is one step forward, two steps back

facebook/ThreatExchange

Trust & Safety tools for working together to fight digital harms.