[Commlist] CFP: ‘Artificial Intelligence and Policy’ Special Issue, Journal of Digital Media & Policy

Reminder: Deadline for submissions approaching

Call for Papers: Journal of Digital Media & Policy

Special Issue: ‘Artificial Intelligence and Policy’

Guest-Editors: Terry Flew, Petros Iosifidis, Michael Klontzas, Krisztina 
Rozgonyi

View the full call here: 
https://www.intellectbooks.com/journal-of-digital-media-policy#call-for-papers 
<https://www.intellectbooks.com/journal-of-digital-media-policy#call-for-papers>

Artificial Intelligence (AI) is a global technology that may change the 
world. It is developing rapidly at all levels – national, supranational 
and international – driven by market and grassroots innovation offering 
cloud-based and selfhosted implementations. Like all other technological 
innovations it involves opportunities and risks, as well as hype. It can 
facilitate faster decision-making, minimise human error and enhance 
productivity to improve healthcare to take an example, but there are 
also drawbacks including ethical concerns about concentration of power, 
bias and privacy, transparency, dependability, accountability, security 
risks from hacking, environmental impact, and misuse of AI for fraud and 
deception, i.e. through disinformation. The training needs of AI 
intensified ongoing discussions around the value and ownership of high 
quality human-generated data as a scarce asset.

This provides a strong incentive to act and regulate the field. However, 
there needs to be a basic agreement over what is to be policed, how and 
by whom. As The Economistput it, ‘the world wants to regulate AI, but 
does not quite know how’ 
(https://www.economist.com/business/2023/10/24/the-world-wants-to-regulate-ai-but-does-not-quite-know-how 
<https://www.economist.com/business/2023/10/24/the-world-wants-to-regulate-ai-but-does-not-quite-know-how>).

Indeed, it is too early to pin down specific policies because AI is 
currently a fast-moving target. There is therefore the option of waiting 
until the dust settles and there is more light than heat in policy 
debates. However, there are advantages to being there early at the 
formative stage in order to craft a carefully balanced approach that 
sets principles and priorities for society and the economy, while 
guarding fundamental rights and values that might be at risk due to AI 
systems. This CFP aims to contribute to the emerging discussion on AI 
policy but it is deliberately open-ended which suits the uncertainties 
around AI. The guest editors comprise a diverse team with a broad range 
of regional expertise and the intention is to invite contributors with 
diverse backgrounds from all over the world.

Contributions may address, but are not limited to, the following areas:

  *

    AI and national, supranational/intergovernmental governance, the
    role of international organisations (UN/UNESCO, Council of Europe,
    OECD, etc.) in shaping and steering the debate.

  *

    AI and trust: ‘trusted systems’ approaches versus societal trust
    models; trust and accountability; transparency and its limits;
    risk-based regulatory approaches

  *

    Culturally-oriented international organisations like UNESCO vs.
    pro-market ones, to identify differences in the approach to AI
    regulation.

  *

    Different models globally for regulating AI, i.e., EU model; US
    model; Chinese model.

  *

    Conceptual and strategic differences in governing and regulating AI:
    human-rights centred, risk-based, innovation-focused approaches.

  *

    New and emerging governance models around AI: two-tier systems of
    regulators with or without a technology/AI mandate, (geo)political
    clashes among countries/regulators.

  *

    The enabling factors and frameworks for AI policy-making and
    regulation: AI usage data access; use case information gaps;
    information asymmetries and strategies to address imbalances.

  *

    The capacity to govern: readiness and capability of regulators,
    institutional transformations, path dependencies and capture.

Submissions:

Submission of abstracts should include name, institutional affiliation, 
contact information, title and a 400-word abstract. Email your abstracts 
to all guest editors: Terry Flew ((terry.flew /at/ sydney.edu.au) 
<mailto:(terry.flew /at/ sydney.edu.au)>), Petros Iosifidis 
((p.iosifidis /at/ city.ac.uk) <mailto:(p.iosifidis /at/ city.ac.uk)>), Michael 
Klontzas ((michael /at/ klontzas.com) <mailto:(michael /at/ klontzas.com)>), Krisztina 
Rozgonyi ((Krisztina.Rozgonyi /at/ oeaw.ac.at) 
<mailto:(Krisztina.Rozgonyi /at/ oeaw.ac.at)>).

Publication deadlines and timeline:

Abstracts due: 1 March 2025

Confirmation of acceptance: 15 March 2025

Full manuscript due: 15 July 2025

Revisions sent out (peer review): 1 September 2025

Final submission: 1 December 2025

Publication: 1 March 2026


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