Discourse monitor
How the monitored publications were assessed
Discourse valence across every scored item: what the sampled sources published and how independent models read it. It is not a measure of public opinion, not a measure of the state of the world, and article volume is not agreement.
Mean discourse valence per day · governance · last 365 days
This line is the mean of every item scored on each day. It deliberately ignores the reading filter, because a daily mean of only the mixed or uncertain items would move with how many were filtered out rather than with the discourse.
Discourse valence, mixed or uncertain
-5
Mixed or uncertain
120 items · range -19 to +10
-100
-50
0
+50
+100
-5
Adverse readingFavourable reading
120 items read as mixed or uncertain
- OpenAI reveals six more safety issues and unveils plan to disclose incidents
- Burnham to call for global effort to control threats posed by AI
- How Potential 2028 Presidential Candidates Are Talking About A.I.
- EU to restrict social media and chatbots for children under 15
- A Robot Among People:From Social Imitation to the Social Becoming of Human Groups
- China unveils draft export controls on AI technologies and chips
- Jensen Huang says battle over AI innovation and safety is ‘false choice’
- Scalable Oversight for AI in Mental Health: Lessons from 350,000 AI Coaching Conversations between Therapy Sessions
- Sam Altman’s remarks at the United Nations Security Council
- When Does AI Augment Work? A Workflow-Level Framework for Human-Agent Collaboration
- With a Thermomix You Lose the Ability to Cook: A Kitchen Machine Analogy for Applications of Generative AI in Education
- OpenAI’s Altman and Anthropic’s Amodei address UN security council
- Instructional Governance by Design: A Framework for AI in Computing Education
- Steve Bannon and Bernie Sanders Demand Tighter Controls on A.I.
- AI-inferred expressed well-being and collective-action discourse in climate-change campaigns on X
- Google DeepMind and Singapore Government announce new AI tool to protect citizens against scams
- Stochastic Dynamics of Generative AI: From Autoregressive Models to Interacting LLM Networks and Neural SDEs
- Click, Branch, Audit: A Decision-Tree Toolkit for Assessing Fundamental Rights Impacts under the Digital Services Act of Very Large Platforms & Search Engines
- Algorithm Validation as a Policy Audit: Evidence from Race-blind Charging
- ZGCM-1: A Fully Open and Extremely Efficient Foundation Model for Math and Agentic Search
- Pope Leo criticises Nvidia’s Jensen Huang over AI safety
- A global safety net for climate-risk intelligence is urgently needed
- AI for Societal Impact
- Steve Bannon and Bernie Sanders unite in AI safety call
- The onward march of cognitive capitalism
- ‘We must slow the pace’: CEO of Anthropic calls for an AI slowdown
- China’s extraordinary rise in science and how it will change the world
- OpenAI scraps rollout of new model over safety concerns
- Characterizing Bluesky Content Moderation Service: From Automation of Service to Landscape of Harms
- Watermarks Without Verification: AI Text Watermarking After the EU AI Act
- Governance-as-Code: Translating EU AI Act Technical Requirements into Executable Compliance Pipelines for Generative AI Systems
- AI Alignment for Digital Democracy: Fairer Voters Representation against LLM Biases
- China Condemns U.S. Ban on DeepSeek A.I. in Government Systems
- F.T.C. Investigates OpenAI and Anthropic Over Potential Consumer Harms
- Developing Competency in AI Ethics: A training framework
- Developing Gemini 4 Argon responsibly and safely
- California Governor Gavin Newsom Issues A.I. Safety Executive Order
- How “reverse game theory” could keep AI agents in check
- Whose Ground Truth? Embracing Ambiguity in Human-Centered AI
- AI Security Literacy: Ecosystem-based Competency Framework and K-12 Learning Platform
- Nvidia, worth $5.5tn, donates $250m to UK for AI safety research
- SlackBench: Benchmarking Agents on Collaborative Projects Grounded in Real Code Repositories
- An AI Factory for Technology Education: An Agentic Pipeline with Closed Loop Audience Feedback
- Obama reportedly urges Democrats to prioritize safety plan for AI
- The Trinity:Capability-Driven Recursive Self-Improvement for Multimodal Agents
- Democratic governance of frontier AI, part II: Empowering cyber defenders
- Genie 4: A new generation of world simulation
- AI Risk Ontologies for the EU AI Act Compliance: AIRO, VAIR, and their Integration with DPV
- Priorities and principles for effective third party assessments
- Plan for AI-run companies challenged by US lawmakers
- Why does America hate AI?
- From Regulation to Engineering: Organizational Privacy Climate as Mediator
- How China and the US can work together on AI security
- OpenAI and Anthropic bosses push UN for global terms on AI
- World Bank says ‘small AI’ could transform developing countries
- Toward a Time-Aware Assessment Framework for the Carbon Cost of AI-Enabled Decarbonization
- Research with AI Agents: How Agentic Systems Are Changing Scientific Work
- California’s Governor to Sign Landmark Online Child Safety Bills
- RADAR: Readiness for AI Discovery and Agentic Reach
- Not All That Can Be Automated Should Be Automated: Strategic Minimalism as a Disciplined and Ethically Grounded Approach to AI Adoption
- Partnering with Hacktron to find vulnerabilities in OpenAI’s systems
- AI agents need middle managers too
- Don't Pick a Winner: Knowledge Conflicts Need a Prior, Not a Rule
- Uneven Use, Similar Trust Generative AI in Denmark and Romania
- What Does AI Success Look Like? A Mixed-Methods Analysis of Supranational AI Governance Instruments
- Peer review should constrain evaluative authority
- Anthropic turns to lawyers to help AI agents strike deals
- Structural Dependence, Imitation or Herding? A Multi-Agent Simulation of Global Intermedia Agenda Setting
- From Efficiency to Sufficiency: The Cost-Aware Measurement Design Framework for Automated Essay Scoring
- Amp puts AI agents to work beyond code with OpenAI models
- Building a safer path to autonomous industrial AI
- The AI Evaluation Ecosystem
- OpenAI’s release of mathematical findings draws concerns from experts
- Auditable Claims about AI Agents
- Silicon Valley expects AI will kill jobs but economists are not convinced
- 6 Guidelines for Governing AI
- Students turn to lawyers to fight AI misconduct accusations
- China has cracked down on AI relationships. Is it ahead of the game?
- Judge dismisses Chegg and Penske antitrust lawsuits targeting Google AI search
- A Reusable Semantic Web Framework for Evidence-Grounded Fundamental Rights Impact Assessments under the EU AI Act
- Trump plan to combat AI risks hinges on Big Tech pals policing themselves
- US competition watchdog expands investigation of Anthropic and OpenAI
- Forecasting space weather risks on power grids
- Position: Let's Strengthen Verifiability If We Can't Enforce Reproducibility
- RFK Jr outlines expansive vision for collecting US health data at Maha event
- AI can widen science — but only if institutions stop rewarding the already measurable
- Peer Review as Structured Commentary: Immutable Identity, Public Dialogue, and Reproducible Scholarship
- Bringing AI to Autonomous Systems -- From Cognition to Collective Intelligence
- AI Can Do Your Homework. Now What? Report from an Online Workshop on Computing Assessment in the Age of Generative AI
- OpenAI gives cyber defence tools to Ukraine
- Critical Data Studies in the Anthropocene
- OpenAI joins call for US-led global AI standards
- Trustworthy FinAInce: Unpacking How AI-Mediated Financial Advice is Judged
- Who Decides? Agency and Legitimacy in Digital Educational Systems
- Our framework for reporting model misalignment
- The dominance of AI is not inevitable. We can choose to change things for the better | Nick Evershed
- AI companies must work with the research community to protect attribution
- Can the US and China work together on AI risks?
- Make AI traceable before it shapes global climate assessments
- Global maps of travel time to emergency and tertiary hospitals
- Joseph Stiglitz on how to build a better AI economy
- China’s Regulators Take Aim at “AI Boyfriends”
- AI Models Are Watermarking Text—Will You Notice?
- New AI health tools need ‘L-plates’, says UK review
- Labor wants Australians to be able to opt out of online algorithms. How will it change your feed?
- Democracy Needs Reach: Political Equality, Online Speech, and Algorithmic Recommendation
- Introducing the Australian Youth Safety Blueprint
- Scaffolding GenAI Use in Ethical Essay Writing: A Three-Year Experience Report in Introductory Computing
- Embedded Assessments for Frontier AI
- One essential ingredient for AI safety? Democracy | Matthew Botvinick
- Progressive Skill Discovery as Access Control for Tool-Using LLM Agents: Structural Governance through Role-Scoped Capability Delivery
- ‘Bold but sane’: what we learnt from Anthropic’s 240,000-word IPO filing
- Beyond Cultural Knowledge: Evaluating Arabic Cultural Appropriateness of Large Language Models
- ‘Control and sovereignty’ to shape UK approach to AI
- UK needs new laws for AI in healthcare, says watchdog
- Endogenous Exploration in Reinforcement Learning with Intrinsic Curiosity
- Why Read a Research Paper When You Can Turn It Into an AI Agent?
- Playing Bias: Epistemic Games for Interpreting Text-to-Image Models
- An updated Model Spec for more capable and beneficial AI
- The EU AI Act Beyond Europe: A Practical Readiness Framework for Non-EU Organisations. Comparative Evidence from Four African Countries
3560
discovered, all time
984
passed triage
2574
rejected at triage
3464
model assessments
710
multi-model panels
1780
distinct claims tracked
Across the whole window
The two tables below describe every item in the last 365 days under governance. They are deliberately not narrowed by the reading filter (currently mixed or uncertain), because a mean taken only over items already selected for their score would just restate the filter.
By topic
| Topic | Branch | Items | Mean | Position |
|---|---|---|---|---|
| Existential and catastrophic risk | risk | 568 | -42 | |
| Governance and regulation | structural | 459 | -31 | |
| Concentration of power | risk | 451 | -36 | |
| Loss of control and alignment | risk | 337 | -49 | |
| Human agency and epistemics | risk | 166 | -26 | |
| Cyber capability | risk | 165 | -44 | |
| Evaluation and measurement | structural | 159 | -19 | |
| Scaling and architecture | structural | 137 | -16 | |
| AGI and timelines | structural | 132 | -29 | |
| Synthetic media and manipulation | risk | 104 | -44 | |
| Employment and displacement | risk | 62 | -31 | |
| Medicine and health | benefit | 43 | -14 | |
| Scientific acceleration | benefit | 42 | -4 | |
| Education and access to expertise | benefit | 29 | -17 | |
| Biological and chemical uplift | risk | 26 | -25 | |
| Climate and energy | structural | 20 | -33 | |
| Compute and infrastructure | structural | 18 | -8 | |
| Productivity and growth | benefit | 6 | -3 | |
| Abundance and material wellbeing | benefit | 5 | -1 | |
| Hype and disillusionment | structural | 5 | -45 |
By source
A source's mean says how the items it published were read. It is not a rating of the source.
| Source | Kind | Tier | Items | Mean |
|---|---|---|---|---|
| The Guardian: Artificial Intelligence | news | 1 | 241 | -52 |
| arXiv cs.CY (Computers and Society) | academic | 1 | 217 | -24 |
| Financial Times: Artificial Intelligence | news | 1 | 112 | -40 |
| arXiv cs.AI | academic | 1 | 99 | -15 |
| The New York Times: Technology | news | 1 | 60 | -36 |
| Ars Technica: AI | news | 1 | 59 | -51 |
| MIT Technology Review: AI | news | 1 | 34 | -42 |
| Nature | academic | 1 | 31 | -25 |
| BBC News: Technology | news | 1 | 29 | -35 |
| OpenAI | lab | 1 | 24 | -8 |
| arXiv cs.LG (Machine Learning) | academic | 1 | 24 | -16 |
| IEEE Spectrum: AI | news | 1 | 19 | -19 |
| The Economist: Science and Technology | news | 1 | 10 | -37 |
| CSET, Georgetown | government | 1 | 9 | -37 |
| Microsoft Research | lab | 1 | 8 | 0 |
| Google DeepMind | lab | 1 | 6 | -4 |
| Google AI Blog | lab | 1 | 2 | -9 |