AI and Society

Aims & Scope

AI & Society: Knowledge, Culture and Communication, is an International Journal publishing refereed scholarly articles, position papers, debates, short communications, and reviews of books and other publications.

Established in 1987, the Journal focuses on societal issues including the design, use, management, and policy of information, communications and new media technologies, with a particular emphasis on cultural, social, cognitive, economic, ethical, and philosophical implications.

AI & Society has a broad scope and is strongly interdisciplinary.

We welcome contributions and participation from researchers and practitioners in a variety of fields including information technologies, humanities, social sciences, arts and sciences.

This includes broader societal and cultural impacts, for example on governance, security, sustainability, identity, inclusion, working life, corporate and community welfare, and well-being of people.

Co-authored articles from diverse disciplines are encouraged.

AI & Society seeks to promote an understanding of the potential, transformative impacts and critical consequences of pervasive technology for societies.

Technological innovations, including new sciences such as biotech, nanotech and neuroscience, offer a great potential for societies, but also pose existential risk.

Rooted in the human-centred tradition of science and technology, the Journal acts as a catalyst, promoter and facilitator of engagement with diversity of voices and over-the-horizon issues of arts, science, technology and society.

The journal is in three parts: a) full length scholarly articles; b) research in progress and reflections; c) Student Forum for young researchers to communicate their ongoing research to the wider academic community, mentored by the Journal Advisory Board; Book Reviews and News; Curmudgeon Corner for the opinionated.

View Aims & Scope

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Metrics & Ranking

Impact Factor

Year	Value
2025	4.7
2024	2.90

Journal Rank

Year	Value
2024	3514

Journal Citation Indicator

Year	Value
2024	3069

SJR (SCImago Journal Rank)

Year	Value
2024	1.208

Quartile

Year	Value
2024	Q1

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Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar
• Web of Science

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Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Arts and Humanities and Computer Science, designed to support cutting-edge academic discovery.

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Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• In AI we trust? Perceptions about automated decision-making by artificial intelligence

  Citation: 592

  Authors: Theo, Natali, Sanne, Claes H.

• Social media analytics: a survey of techniques, tools and platforms

  Citation: 419

  Authors: Bogdan, Philip C.

• Experimental investigation into influence of negative attitudes toward robots on human–robot interaction

  Citation: 373

  Authors: Tatsuya, Takayuki, Tomohiro

• A multi-agent based framework for the simulation of human and social behaviors during emergency evacuations

  Citation: 365

  Authors: Xiaoshan, Charles S., Ken, Kincho H.

• The Chinese approach to artificial intelligence: an analysis of policy, ethics, and regulation

  Citation: 295

  Authors: Huw, Josh, Jessica, Mariarosaria, Vincent, Luciano

• Thinking with external representations

  Citation: 283

  Authors: David

• Recommender systems and their ethical challenges

  Citation: 280

  Authors: Silvia, Mariarosaria, Luciano

• Artificial intelligence vs COVID-19: limitations, constraints and pitfalls

  Citation: 261

  Authors: Wim

• Smart cities in the new service economy: building platforms for smart services

  Citation: 236

  Authors: Ari-Veikko, Pekka, Stephen J.

• Does Japan really have robot mania? Comparing attitudes by implicit and explicit measures

  Citation: 235

  Authors: Karl F., Sandosh K., Chin-Chang

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