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 adverse items would move with how many were filtered out rather than with the discourse.
Discourse valence, adverse
-54
Adverse
120 items · range -64 to -50
-100
-50
0
+50
+100
-54
Adverse readingFavourable reading
120 items read as adverse
- "No human at the helm": Delaware plan would let AI agents run entire businesses
- OpenAI ‘agents’ disabled their own monitoring systems
- MoFlow: Multi-Objective Agentic Workflow Generation
- Why did an OpenAI system hack Australia's health system - and can it be stopped in the future?
- As White House shields the AI gold rush, Trump family and other allies strike it rich – with few guardrails
- Rightwing ‘great replacement’ fears mask tech's real great replacement | Jason Stanley
- The Pentagon wants $30 million to build an AI-powered lie detector
- The Capability Transfer: Cohort Reversal, Codified Expertise, and the Adaptability Tax of AI Transformation
- The Ethics of Artificial Intelligence in Military Operations
- Trump rejects AI slowdown calls, launches "AI Force" instead
- Is Labor going to roll over for big tech – or will it protect the rights of everyday Australians? | Holly Rankin
- Australia’s outdated technology is vulnerable to AI hacking attacks, signals chief says
- As Australia faces an AI-generated future, a human rights act is needed more than ever
- Digital Labor Platforms as Infrastructure of Extractivism
- Whose Data, Whose Benchmark? A User-Centric Framework for Auditing Evaluation Resources
- AI overlords say they want to democratise their technology. Here’s how | Richard Wilson and Clara Long
- Securing the agentic enterprise with data lineage
- Who Acts, Who Knows, Who Answers? A Corpus-Assisted Discourse Analysis of Agency, Epistemic Responsibility, and Accountability in Generative AI Higher Education Research
- UK MPs and Lords call for new laws to tackle AI threat to human rights
- Rivals Altman and Musk rally behind Dario Amodei’s call for an AI slowdown
- King Charles raises alarm over AI ahead of Burnham meeting with Trump
- AI could undermine scientific independence in subtle ways
- As A.I. Accelerates, Governments Are Increasingly Being Left Behind
- AI maths advances raise fears over security of global encryption
- Bernie Sanders and Steve Bannon call for curbs on AI at ‘pro-human’ summit
- Global pension funds cut US equities over AI concentration risk
- How big tech is building a military–industrial complex in the age of AI
- Trump unveils 'Super Intelligence Force' to oversee AI policy
- ‘Elonville’: Mississippi residents say Musk’s xAI is buying up homes if they don’t sue over noise
- It’s going to take more than an email to a public inbox to protect Australians from potential AI doom
- Can We Still Trust Disaster Social Sensing? Empirical Evidence on Detecting AI-Generated Social Media Posts
- The Law of Stop: Interruptibility, Injunctions, and the Governance of Agentic AI
- Operationalizing NCII and CSAM Law in the Age of AI: Open Problems
- ‘Digital hostile environment’: AI secretly being embedded across Home Office, report claims
- The Guardian view on AI safety: the push for global regulation must advance | Editorial
- "We'll Fix It Later": Education, AI, and the Deferral of Privacy in EdTech
- UK government rejects 'kill switch' idea for dangerous AI
- Report: FTC probes Anthropic, OpenAI after Trump dismissed AI fears as “hoax”
- US government website used Chinese model the FBI called "malicious"
- Albanese government warned it’s ‘sleepwalking into another robodebt scenario’ over use of algorithms and AI
- How A.I. Is Making It Easier Than Ever to Microtarget Voters
- AI is less regulated than milk, says Microsoft president
- What people in AI really think about regulation
- Why AI companies can’t be trusted to self-regulate
- What OpenAI’s latest controversy tells us about the future of math
- America’s A.I. Leaders Warn U.N. of Possible Peril Absent a Global Response
- Superpowers cannot solve world’s problems, UN chief says in final general assembly address
- ‘Godfather of AI’ says tech regulation is nearing Covid-style pivot moment
- China’s spy agency warns of AI risk to national security
- Warfare
- Who Bears the Risk When Generative AI Enters Transport? A Distributional Sociotechnical Audit of Algorithmic Equity, Synthetic-Data Validity, and Public Trust
- UK ministers explore compulsory AI safety reporting
- ‘An out-of-touch Silicon Valley radical’: meet Trump’s AI whisperer pushing for limited regulation
- Is Trump’s AI obsession walking the world into disaster? | Politics Weekly America
- They fought against datacenters. Now they are running for local offices
- Nvidia’s Jensen Huang Gets Onstage Call From Trump, Who Dismissed A.I. Safety Concerns
- Making the internet better for AI agents might make it worse for everyone else
- Trump facing AI backlash in Congress as push for guardrails intensifies
- Thousands of “ghost students” use AI to steal millions in student loans, DOJ says
- BoE’s Bailey tells G30 they ‘have got to address’ AI agent concerns
- What an AI deal could mean for Australian culture – podcast
- Russia and US seek to block plan for binding rules on autonomous weapons
- Activists across Europe prepare two days of protests against datacentres
- The race to keep AI under control
- Trump claims he is only ‘guardrail’ needed to control AI as top Republicans join him in dismissing calls for more checks – live
- Can AI’s leaders really put aside rivalry for the common good?
- “Does Meta think we can’t read?” Meta abandons sketchy commercial terms update.
- I watched a humanoid robot clean my apartment. It felt like a taste of the future.
- How Generative AI Redefines Personalization and Diversity in the Newsroom
- The Popular Get More Popular: Auditing Brand Bias in Generative Search
- Scare campaigns: Victoria’s major parties trade blows over AI-generated videos of leaders in election ads
- Voters Rejected A.I. in the Midterms. Now Comes an Era of Scrutiny.
- OpenAI’s approach to mathematics does not add up
- Democratic governors elected on promises to stop data centre building
- Our current AI moment has darker historical echoes
- Will AI grant reviews make science more conservative?
- Palantir AI tech unused or little used by 29 NHS trusts said to be benefiting from it
- Measuring Where Intent Gets Lost in Agentic Smart Contract Synthesis
- Experts warn AI copyright changes could breach Australian constitution and spark huge compensation rights case
- Trump declares robot imports a national security threat
- AI bots flooded 2023 UK government consultation on disposable vapes ban
- AI-hallucinated citations should be treated as research misconduct
- The Watchtower Imperative: Lifespan-Calibrated Evaluation for Frontier AI
- In a rush to lure AI companies, the Australian government risks undoing a creative ecosystem that has taken decades to build | Dan Guthrie
- Anthropic’s Claude AI model accessed Georgia voter data in US
- Generalized green and red concepts for artificial intelligence, big data, and information and communication technologies: Multidimensional framework and countermeasures
- Pegasus spyware founder urges governments to trust his tech and ditch US AI
- Opposition deepfake video sparks outrage in Spain ahead of election
- AI oversight needs a different model to banking
- Fixing Britain’s welfare state and the limits of AI policymaking
- AI firms say UK has a year to head off datacentre protests before construction is threatened
- Meta Ordered to Pay $25 Billion for Deceiving Users on Privacy
- Labor and the Coalition are poised to take a reckless gamble on AI. Haven’t they realised community support has collapsed? | Edward Santow and Sarah Sacher
- China’s villages pay the price for Beijing’s AI ambitions
- US bans DeepSeek AI from government use as tech tension with China continues
- US prosecutors allege Saudi royal links in OpenAI bugging case
- We need to stop disinformation in UK political adverts. Here’s a chance to do so | Letter
- VoteGEO-Bench: Measuring the Impact of Generative Engine Optimization on Electoral Visibility
- The AI boom stumbles
- AFL tells Sportsbet to stop using players in AI generated content
- Criminals could walk free without controls on AI use, police watchdog warns
- AI less regulated than milk, Microsoft president says in warning over safety
- Ukraine’s drones knock out AI data center belonging to "Russia’s Google"
- Reading the Room: Foundations, Design, and Challenges of Normative Competence in LLMs
- Beyond Score Accuracy: Examining the Diagnostic Quality of LLM-Generated Structured Assessment in Higher Education
- OpenAI came to Australia to apologise. It will leave without answering these key questions | Toby Walsh
- Should We Track AI Chips?
- Connecting AI agents to enterprise knowledge
- Accept ‘bad things’ in return for benefits of AI, says Sam Altman
- The AI Risk Observatory: What Can We Learn from AI Disclosures in Annual Reports About Societal Resilience?
- Conditions for Social Trajectory Collapse: Agent-Based Simulation of Time-Geographic Trajectory Distributions
- From Knowledge to Legitimacy: A Philosophical Problem Discovery of AI Implementation Readiness in Public Health Disease Surveillance
- Trump’s AI chatbot turns on its master
- AI-powered medical devices must be tested in real-world settings
- Democracy blindsides Silicon Valley’s power players looking to transform the world with AI
- ‘Wake-up call’: Labor considers changing Australian laws after OpenAI Medicare hack
- Biosecurity must protect human functional capacity
- AI is generating a new wave of US populism. It could be a tipping point | Robert Reich
- AI could be a bubble and is not yet making Australia more productive, Michele Bullock says
- Toward Fairness in Machine Learning Models for Predicting Treatment Retention and Premature Discontinuation in Medication for Opioid Use Disorder
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 adverse), 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 |