Behaviour, AI and Society
An open-access journal of the Greater Bay Area Behavioral Science Research Institute, publishing research on behaviour in a world shaped by artificial intelligence and digital technology.
The journal is preparing its first issue. Its ISSN, editorial board and first articles will be listed here as each is confirmed.
Aims and scope
Behaviour, AI and Society publishes research on how artificial intelligence and related digital technologies change behaviour, how behavioural science can shape the design and governance of these technologies, and how AI systems themselves behave. It brings human and machine behaviour into one behavioural-science frame and follows both into society.
Five lines of inquiry
- Technology shaping behaviour. How AI and digital technologies change learning, creativity, work, decisions, health and wellbeing, consumption and social life.
- Behavioural science shaping technology. Human-centred AI, choice architecture and nudges, trust and adoption, and aligning systems with human preferences and values.
- AI systems as behaving agents. Experimental and observational study of the behaviour of language models, agents and robots: cognition, bias, cooperation and strategic interaction.
- AI as a method for behavioural science. Machine learning on behavioural data, simulated participants, computational social science and new measurement.
- Governance and society. Ethics, law, policy and institutions for AI, studied through the behaviour of the people and organisations they govern.
What fits
The field a manuscript comes from is open: education, the arts, music, sport, business, economics, law, health and beyond. A manuscript fits when it does both of the following.
- It studies behaviour, of individuals, groups, organisations or AI systems, with the theory or methods of behavioural science.
- Artificial intelligence or another digital technology is a substantive part of the question: a cause, an object of study, a tool, a setting or an actor.
Outside the scope. Purely technical work on algorithms or systems with no behavioural question; behavioural studies in which technology plays no real part; and essays without behavioural evidence or theory.
Article types
- Research articles: original empirical, computational or theoretical work.
- Reviews and meta-analyses: systematic syntheses of a body of evidence.
- Methods and resources: new methods, datasets, benchmarks or software for studying behaviour and AI.
- Perspectives: short, argued pieces on emerging questions, also peer reviewed.
Peer review
- Editorial screening for scope, completeness, text similarity and research-integrity concerns.
- Double-anonymous review by at least two independent reviewers. Authors submit an anonymised manuscript and reviewers see no author details.
- An editor with no conflict of interest decides to accept, request revision or decline, and sends the reports to the authors.
- Accepted articles are published online, free to read and permanently available.
Open access and licence
Every article is free to read on publication. Authors keep their copyright and publish under the Creative Commons Attribution 4.0 International licence (CC BY 4.0), which lets anyone share and adapt the work with attribution. CC BY 4.0
Publication charges
There is no charge to submit or to publish.
Submission guidelines
- Write in English, with a title, an abstract of up to 250 words and three to six keywords.
- Upload an anonymised manuscript (PDF, DOC or DOCX, up to 15 MB): remove author names, affiliations and acknowledgements, and clear the file properties.
- Include statements on ethics approval, data availability, funding, competing interests and any use of AI tools, as the journal policies describe.
- Format references in APA style (7th edition).