“Policy Responses to Generative AI”

Call for Papers – Special Issue: “Policy Responses to Generative AI”

Journal: Telecommunications Policy
Publisher: Elsevier
Submission deadline: 01 June 2026

Overview

Generative AI is causing widespread disruption across industry, national security, education, and political landscapes. This special issue aims to assess the efficacy of existing policy frameworks and identify where new laws or regulations are required to manage this rapid technological evolution. The editors seek empirical, conceptual, and theoretical contributions that evaluate governance modes—ranging from training data and algorithmic transparency to user experience and product marketplaces—at micro, meso, and macro levels of analysis.

Key Research Themes

• Governance & Regulation: Analysis of national and international AI policymaking approaches, including standards for risk, security, and content moderation.

• Rights & Ethics: Policy responses regarding intellectual property (IP), privacy, reputation management, and strategies to mitigate AI bias and lack of transparency.

• Societal Impact: Challenges posed by synthetic media (e.g., deepfakes), the role of public participation in AI governance, and critical/cultural perspectives on automation.

• Policy Recommendations: A core requirement of all submissions is the inclusion of actionable policy recommendations that address current governance gaps.

Submission Details

• Submission window: Open now – 01 June 2026.

• Submission portal: https://www.editorialmanager.com/JTPO

• Article Type: Select “VSI: Policy for Generative AI” from the dropdown menu during the submission process.

Guest Editors

• Dr. Jonathan Obar, York University, Canada (jaobar@yorku.ca)

• Dr. Christoph Lutz, BI Norwegian Business School, Norway (christoph.lutz@bi.no)

• Dr. Madelyn Sanfilippo, University of Illinois at Urbana-Champaign, USA (madelyns@illinois.edu)

Why This Issue Matters

As generative AI integrates into the fabric of daily life, the need for robust, evidence-based policy has never been more urgent. This issue provides a critical platform for scholars to move beyond descriptive analysis and offer rigorous, comparative, and integrative policy solutions that can help stabilize and govern the future of artificial intelligence.

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