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 strongly adverse items would move with how many were filtered out rather than with the discourse.
Discourse valence, strongly adverse
-73
Strongly adverse
56 items · range -92 to -65
-100
-50
0
+50
+100
-73
Adverse readingFavourable reading
56 items read as strongly adverse
- The Price of Greenwashing: Algorithmic Verification and Market Discipline using Conformal Machine Learning
- Georgia holds emergency meeting on AI exposing voters’ secret ballots
- The Guardian view on NAZA’s persecuted directors: journalism is not treason | Editorial
- When AI is subject to less regulation than your fridge, something is startlingly wrong | Richard Hermer
- Bill Gates says unchecked AI could ‘cause a billion deaths’ in call for regulation
- Australia has done precious little to prepare for the dangers of AI. Where is brilliant leadership when you need it? | Zoe Daniel
- We need ‘right to intervene’ in AI amid growing threat, says Bank of England boss
- Move Fast and Mend Things: Keeping Up with Evolving AI Harms Using Social Media Commentary
- As AI images become common, the threat to elections draws alarm: ‘How will voters know what’s true?’
- Trump admin using AI to deny medical care for seniors in disastrous experiment
- Bill Gates warns AI could cause ‘a billion deaths’
- The US government is failing Americans on AI | Shakeel Hashim
- Auditing AI-Washing in German Startups: A Mixed-Methods Study of Marketing Claims and Perceptions
- The Concentration of Artificial Intelligence in Big Tech and Its Implications for Human Rights in the European Union
- Gavin Newsom signs laws to protect California workers from AI threat
- US trade regulator opens investigation into AI giants including Anthropic and OpenAI
- It’s not hypothetical: the dangers of AI are already here | Granate Kim and Mohamed Hussein
- Small AI models let drones autonomously identify and attack battlefield targets
- Understanding AI Provider Recommendations in Local Service Markets
- ‘New kind of cyber incident’: OpenAI apologises for Medicare hack and reveals extent of attack
- 4 ways to address the failures we found along the US border’s “virtual wall”
- British Columbia sues OpenAI and Sam Altman over Tumbler Ridge mass school shooting
- Who Can Say No? Control, Accountability and the Pace of Frontier AI
- ‘Pacing’ won’t eliminate the risk of AI doom. Here’s what could | David Krueger
- The Guardian view on controlling AI: humanity cannot outsource its survival | Editorial
- AI hack of Medicare exposes Australia’s vulnerabilities and experts warn ‘there is more of this to come’
- One Nation’s AI video is vile and tired – but the ensloppification of Australian politics doesn’t stop there
- OpenAI to reiterate apology to Australia over Medicare hack as inquiry told artists risk becoming ‘roadkill’
- The Triumph of Tech-Fueled Propaganda
- Broken promises, confiscated land: the hyperscale AI datacentre being built in a tiny Indian village
- Big Tech claims voters’ AI backlash is “anti-Trump” not “anti-tech”
- LLM Recommenders Produce Demographic Inequality Through Content Preferences
- AI and the climate crisis pose existential risks. The law offers a way to reduce them | Robert Reich
- AI ‘deepfakes’ give US political attack ads a new twist
- RFK Jr. thinks AI will free us from the "tyranny" of medical facts, expertise
- Florida invokes extinction fears in legal bid to halt OpenAI development
- Time for a pause on cutting-edge AI
- Labor unions must unite against AI datacenters | Tyler Turner
- The Domestic Unprotected Zone: Algorithmic Governance and the Reproduction of Perpetrator Discourse in Conversational AI
- Can Trump and Xi cooperate to guide humanity through the AI revolution? Humanity might depend on it | Alan Finkel
- ChatGPT as a Surveillance Assistant? An Exploratory Case Study of AI-Assisted Surveillance Risks
- Water-Energy-Data nexus reveals sustainability gaps and priorities for AI infrastructure
- OpenAI hack on Australian government reveals anxiety at heart of global artificial intelligence dilemma
- Stop worrying about my AI, says multibillionaire Sam Altman. So we bear the risks and he keeps the money | Chris Stokel-Walker
- Drowning in AI Slop: How Social Media Platforms (Do Not) Label AI and Deepfake Content under EU law
- AI-driven disinformation running rampant on social media before US midterms, experts warn
- Is regulation enough to stop AI systems killing us all? | Letters
- Do you want help from humans or AI bots? Because the UK civil service is changing – and not for the better | The civil servant
- As AI models go rogue, do you still trust OpenAI and Anthropic to stop them? I don’t and neither should you | Chris Stokel-Walker
- Inside Microsoft and OpenAI, Worry About Damaging the Publishing Industry
- How a Blacklisted Chinese Tech Giant Kept Buying America’s Best A.I. Chips
- Automated Disinformation and Malicious AI Swarms: Risks for Democracy and Development in Africa
- An AI sovereign wealth fund isn’t progressive — it’s techno-imperialism
- AI and The Enclosure of the Scientific Commons
- Political Sorting Can Drive AI Models Apart Through User Feedback
- Tasmanian justice department review under way after AI and fake citation used in murderer’s parole decision
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 strongly 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 |