AI & Society

Scope & Guideline

Bridging the Gap Between AI and Ethical Inquiry

Introduction

Immerse yourself in the scholarly insights of AI & Society with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0951-5666
PublisherSPRINGER
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1987 to 1996, from 1998 to 2024
AbbreviationAI SOC / AI Soc.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
AddressONE NEW YORK PLAZA, SUITE 4600 , NEW YORK, NY 10004, UNITED STATES

Aims and Scopes

The journal "AI & Society" focuses on the intersection of artificial intelligence and societal issues, examining the implications of AI technologies on human behavior, ethics, governance, and cultural practices. The journal aims to foster interdisciplinary dialogue and provide critical insights into how AI reshapes various aspects of life.
  1. Interdisciplinary Research:
    The journal encourages contributions from various disciplines such as sociology, philosophy, law, and computer science, aiming to bridge gaps between technical and social understandings of AI.
  2. Ethics and Governance:
    A core focus is on ethical considerations and governance frameworks for AI technologies, exploring how to ensure fair, transparent, and accountable AI systems.
  3. Cultural Impact of AI:
    The journal investigates the cultural implications of AI, including how AI influences creativity, identity, and societal norms, and how these technologies are represented in media and art.
  4. Social Justice and Equity:
    It emphasizes the need for equitable AI solutions, addressing issues like bias, discrimination, and the digital divide, and advocating for inclusivity in AI development and deployment.
  5. Future Societal Scenarios:
    The journal explores speculative futures shaped by AI, considering potential social transformations and the philosophical implications of living alongside intelligent systems.
The journal has seen a rise in topics that reflect current societal concerns and technological advancements. These emerging areas highlight the evolving nature of AI discourse and its integration into various facets of life.
  1. AI Ethics and Accountability:
    There is a growing emphasis on accountability in AI systems, with discussions around ethical frameworks and practices that ensure responsible AI development and deployment.
  2. Societal Impacts of Generative AI:
    Research focusing on generative AI technologies, including their implications for creativity, authorship, and social interaction, is gaining momentum as these technologies become more prevalent.
  3. AI in Governance and Policy:
    Increasing attention is being given to how AI can be integrated into governance frameworks, addressing issues of transparency, citizen engagement, and democratic participation.
  4. Mental Health and AI:
    The intersection of AI and mental health is emerging as a significant theme, exploring how AI tools can support mental health initiatives, therapy, and patient autonomy.
  5. AI and Climate Change:
    There is a rising interest in examining how AI can be leveraged to address climate change challenges, reflecting the urgency of environmental concerns and the role of technology in sustainability.

Declining or Waning

While "AI & Society" has consistently focused on various critical themes, some areas of research appear to be declining in prominence. This shift may reflect changing societal priorities or the maturation of discussions surrounding these topics.
  1. Technological Determinism:
    There seems to be a waning interest in strictly deterministic perspectives on technology, as more nuanced discussions about the interplay between technology and social structures gain traction.
  2. Overly Technical Analyses:
    Papers that focus solely on technical aspects of AI without considering their societal implications are becoming less frequent, indicating a shift towards more holistic and interdisciplinary approaches.
  3. AI and Traditional Employment:
    Research specifically centered on the impact of AI on traditional employment roles is declining, possibly due to the increasing recognition of AI's broader societal impacts beyond job displacement.
  4. Narrow AI Applications:
    There is a noticeable decrease in studies focused solely on narrow AI applications without a critical analysis of their societal context, reflecting a preference for discussions that encompass wider implications.
  5. Historical Perspectives on AI:
    Research that primarily examines historical developments of AI technologies without connecting them to current societal challenges appears to be diminishing, as contemporary issues take precedence.

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