?Are you ready to contribute your research, perspectives, or case studies to the Call for Papers on Ethical Artificial Intelligence for 2025?
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Call for Papers on Ethical Artificial Intelligence
You are invited to submit manuscripts to the Call for Papers on Ethical Artificial Intelligence, focusing on the ethical, legal, social, and technical aspects of AI systems. This call for papers artificial intelligence 2025 aims to gather diverse voices from academia, industry, policy, civil society, and independent researchers to help shape responsible AI practices.
Purpose of this call
You will learn how this call seeks to encourage rigorous, practical, and forward-looking work that addresses real-world ethical challenges. The purpose is to create a multidisciplinary dialogue that bridges theory and implementation.
Who should submit
You are encouraged to submit whether you are an academic researcher, practitioner, policymaker, student, or community organizer. If you work on human-centered AI, fairness, accountability, privacy, governance, or related fields, your work is relevant.
Scope and Themes
You will find below the thematic areas that the call highlights. Each theme is broad to include conceptual analyses, empirical studies, technical methods, case studies, legal reviews, and design practices.
Core themes
These are the primary topics where your contribution will be most valued. The focus includes ethics of AI design, deployment, governance, and societal impacts.
- Ethical frameworks and normative theories for AI
- Fairness, bias mitigation, and inclusive design
- Transparency, explainability, and interpretability
- Accountability, liability, and redress mechanisms
- Privacy-preserving AI and data governance
- Human-AI interaction and augmentation
- AI in high-stakes domains (health, justice, finance, education)
- Socio-technical impacts and long-term societal risks
Emerging themes
You can also submit work on newer or cross-cutting topics that are gaining traction. These areas reflect evolving conversations in AI ethics.
- Generative AI and misinformation
- Synthetic data and its ethical uses
- Environmental impacts of AI models
- Cultural, geographic, and socioeconomic equity in AI
- Ethical considerations for open-source AI development
- Intersection of AI with human rights and labor
Interdisciplinary and mixed-methods research
You are welcome to submit interdisciplinary studies that blend normative analysis with empirical data, technical prototypes with social science methods, or policy proposals informed by case studies. The call values methodological plurality.
Submission Types and Formats
You will see various submission types are accepted to accommodate different contributions. Choose the category that fits your work best.
Full papers
Full papers present complete original research with robust methodology, results, and discussion. These papers typically range from 6,000 to 8,000 words and will undergo full peer review.
Short papers and position papers
Short papers present preliminary results, focused findings, or novel ideas. Position papers argue a particular stance or propose a conceptual framework. These usually range from 1,500 to 3,000 words.
Case studies and practice reports
If you have practical experience implementing ethical AI measures, you can submit case studies or practice reports. These emphasize lessons learned, actionable guidance, and real-world outcomes.
Tools, datasets, and reproducible artifacts
You are encouraged to submit papers that accompany open-source tools, datasets, or reproducible experiments. Provide a link to repositories and documentation to facilitate reuse.
Submission Guidelines
You will need to follow clear formatting and ethical rules to prepare your manuscript. Adherence speeds up review and ensures consistent evaluation.
Formatting requirements
Please format your submission according to the specified template (e.g., two-column format for conference proceedings or single-column for journals). Include title, abstract (150–250 words), keywords, and author information.
- Page limits: Full papers: up to 10-12 pages (double-column) or 6,000–8,000 words; Short papers: 4–6 pages or 1,500–3,000 words.
- Font and layout: Use a standard, readable font (e.g., Times New Roman or equivalent), 10–12 pt size.
- References: Use a consistent citation style (APA, IEEE, or similar). Include DOIs where possible.
A table summarizing key formatting elements may help you:
| Item | Full Papers | Short/Position Papers | Case Studies/Reports |
|---|---|---|---|
| Word/Page Limit | 6,000–8,000 words / 10–12 pages | 1,500–3,000 words / 4–6 pages | 1,500–4,000 words |
| Abstract | 150–250 words | 100–200 words | 100–200 words |
| Figures/Tables | Allowed | Allowed | Allowed |
| Supplementary Material | Encouraged | Optional | Encouraged |
Ethical and legal compliance
You must ensure data privacy, informed consent, and relevant approvals for human subjects research. Remove or anonymize sensitive information when required. If your research uses proprietary datasets, disclose access restrictions and potential biases.
Anonymity and conflicts of interest
If the review is double-blind, you must anonymize manuscripts. Avoid including author names or institutional identifiers. Declare any conflicts of interest at submission.
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Important Dates
You should mark these dates in your calendar to stay on schedule. Missing deadlines may prevent your submission from being considered.
| Event | Date (2025) |
|---|---|
| Call Opens | January 15 |
| Abstract Submission Deadline | March 1 |
| Full Paper Submission Deadline | April 15 |
| Notification of Acceptance | June 1 |
| Camera-Ready Deadline | July 15 |
| Conference/Event Date | September 22–24 |
You may want to prepare early to allow time for revisions and co-author coordination.
Review Process and Evaluation Criteria
You will be guided through a transparent peer-review process designed to assess quality, relevance, and originality.
Peer review stages
Submissions will typically go through initial editorial screening followed by double-blind peer review (unless indicated otherwise). Reviews will evaluate technical soundness, ethical rigor, clarity, and contribution.
Evaluation criteria
Reviewers will use a set of criteria that you should attend to during manuscript preparation. These include:
- Originality and significance of contribution
- Clarity of research question and methodology
- Rigor of analysis and robustness of results
- Relevance to ethical AI and alignment with scope
- Practical implications and reproducibility
- Quality of writing and presentation
Decision outcomes
You will receive decisions such as accept, accept with minor revisions, revise and resubmit, or reject. If revisions are requested, respond thoroughly and provide a point-by-point rebuttal when resubmitting.
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Ethical Expectations for Submissions
You will be expected to adhere to high standards of research integrity and ethical practice. These standards protect participants and increase the trustworthiness of findings.
Responsible conduct of research
Ensure accuracy, transparency, and honesty in reporting methods and results. Disclose funding sources, affiliations, and any competing interests.
Human subjects and informed consent
If your study involves human participants, confirm that you obtained informed consent and appropriate institutional review board (IRB) clearance. Describe mitigation strategies for harms.
Data sharing and openness
Where possible, you should share data, code, and materials to support reproducibility. If you cannot share data due to privacy or commercial restrictions, explain the reasons and provide access options if feasible.
Topics in Depth: Practical Guidance and Examples
You will find practical subtopics and examples to help you refine your paper idea. These are prompts and starting points for structured research.
Fairness and bias mitigation
You should explain how fairness objectives are defined in context, and which metrics you use to measure bias. Consider trade-offs between demographic parity, equality of opportunity, and other fairness notions.
Example questions you can address:
- How do fairness interventions perform across different demographic groups?
- What are unintended consequences of fairness-aware algorithms in practice?
Explainability and transparency
You should clarify what kinds of explanations your work provides and who the target audience is (developers, end-users, regulators). Evaluate whether explanations improve decision-making and trust.
Example directions:
- User studies comparing interpretability techniques
- Metrics for faithfulness and comprehensibility of explanations
Accountability and governance
You should examine mechanisms for oversight, auditing, and regulatory compliance. Consider design patterns that embed accountability into the lifecycle of AI systems.
Possible focuses:
- Audit frameworks for deployed AI
- Legal responsibility models for automated decisions
Privacy and data governance
You should present methods that preserve privacy while enabling useful analytics, such as differential privacy, federated learning, or synthetic data generation. Evaluate utility-privacy trade-offs.
Questions to investigate:
- How do privacy-preserving techniques impact model performance?
- What governance structures support responsible data stewardship?
Human-centered design and downstream impacts
You should assess how AI affects user experience, autonomy, and social outcomes. Studies may include participatory design processes and impact assessments.
Potential studies:
- Co-design with affected communities
- Longitudinal studies of technology adoption and social change
Tips for Writing a Strong Paper
You will benefit from planning and clear presentation. Below are actionable writing tips that you can follow to make your submission more persuasive and readable.
Start with a clear problem statement
You should succinctly state the problem, why it matters, and the main contribution of your work. This helps readers immediately understand the significance.
Use rigorous methods and justify choices
You should explain why you selected particular metrics, datasets, or experimental designs. Provide evidence that your methods are appropriate and robust.
Provide reproducible details
You should include hyperparameters, datasets, code links, and dataset preprocessing steps to support replication. Even if you cannot fully share data, describe steps clearly.
Discuss limitations and societal context
You should be candid about limitations, potential harms, and ethical trade-offs. Describe mitigation strategies and how your findings fit into broader societal debates.
Communicate results clearly
You should use figures, tables, and narrative summaries to convey findings. Interpret results in plain language and relate them back to ethical implications.
Example Call Text (Sample CFP for Use or Adaptation)
You can use the following example as a template when drafting your own CFP announcements or adapting it for institutional dissemination.
Sample Call for Papers (abridged)
You are invited to submit original papers to the Call for Papers on Ethical Artificial Intelligence 2025. Submissions are accepted on topics such as fairness, transparency, accountability, privacy, and the societal impacts of AI. Papers should present original research, case studies, or practice reports. All submissions will be peer-reviewed. Accepted papers will be published in the conference proceedings and selected papers may be invited for extended versions in special issues or edited volumes.
Submission deadlines and formatting guidelines are provided on the official CFP webpage. For full instructions, submission portal links, and contact details, consult the announcement page.
Organizing Committee and Review Board
You should know who is ensuring the quality and integrity of the review process. The committee typically includes experts from multiple disciplines to ensure balanced evaluations.
Roles and responsibilities
Committee members handle tasks such as setting the scope, recruiting reviewers, managing submissions, and making final acceptance decisions. Reviewers are selected for subject-matter expertise and ethical perspective.
Conflicts of interest and transparency
You should expect transparency in conflict-of-interest management: reviewers recuse themselves from submissions with personal or institutional ties. The committee may publish anonymized review statistics post-event.
Publication and Post-Acceptance Options
If your paper is accepted, you will have options for publication and dissemination. Understand the rights and expectations before submitting.
Proceedings and archiving
Accepted papers will be included in conference proceedings and indexed in academic databases. You should check copyright and licensing (e.g., Creative Commons options) before final submission.
Special issues and invited extensions
You could be invited to submit extended versions of high-quality papers to special journal issues or edited volumes. These opportunities often require new data or expanded discussion.
Presentation formats
You will be asked to present accepted work as talks, panels, workshops, or poster sessions. Choose formats that best convey your findings and foster discussion.
Funding, Travel, and Inclusion Support
You should be informed about financial support options to attend the conference or share your work widely.
Travel grants and scholarships
Many events offer travel grants or fee waivers for students, early-career researchers, and participants from underrepresented regions. Check eligibility criteria and apply early.
Accessibility and accommodation
Organizers usually provide measures to make events accessible (captioning, wheelchair access, remote participation). If you require accommodations, contact organizers promptly.
Inclusivity policies
You should expect codes of conduct that outline acceptable behavior and reporting mechanisms for misconduct. Review these policies to ensure a safe environment.
Frequently Asked Questions (FAQ)
You will often have common questions when preparing your submission. The FAQ section helps answer quick queries.
Can I submit the same paper to multiple venues?
You should avoid simultaneous submissions when prohibited by venues. If dual submission is allowed (e.g., workshop + conference), confirm with organizers and disclose prior or concurrent submissions.
What if my dataset cannot be shared?
You should provide as much information as possible about the dataset, document collection methods, and preprocessing. If sharing is impossible, consider synthetic datasets or detailed reproducibility notes.
How do I handle sensitive content?
You should anonymize sensitive data and follow ethical reporting practices. Include content warnings if material could distress readers.
Is it okay to submit student work with advisor co-authors?
You should include advisors and contributors as co-authors where appropriate. Ensure clear statements about author contributions and acknowledgments.
Evaluation Rubric Example
You will find this example rubric useful for anticipating reviewer expectations and structuring your paper.
| Criterion | Excellent | Satisfactory | Needs Improvement |
|---|---|---|---|
| Originality | Novel theoretical insight or practical method | Some novelty with incremental contribution | Lacks originality |
| Rigor | Robust methodology and validation | Adequate methods with minor gaps | Weak or unclear methods |
| Ethics | Strong ethical analysis and safeguards | Acknowledges ethics but limited depth | Ethics poorly addressed |
| Reproducibility | Code/data provided or clearly described | Partial replication materials | No replication information |
| Clarity | Well-structured, readable, and precise | Understandable with minor issues | Hard to follow or ambiguous |
Use this rubric to guide the structure and emphasis of your manuscript.
Strategies for Successful Submission
You will increase your chances of acceptance by following strategic steps during research and writing.
Start early and build iteratively
You should begin planning your project early. Iterative feedback from colleagues or preprints helps identify weaknesses before formal submission.
Engage stakeholders and affected communities
You should involve stakeholders in design and evaluation to ensure relevance and avoid blind spots. Co-authorship with community partners can strengthen ethical credibility.
Pre-register and plan for transparency
You should consider pre-registration or publishing a project protocol for empirical studies. This shows commitment to transparency and methodological rigor.
Prepare strong visuals and summaries
You should design figures and tables that clearly communicate key results. An executive summary or policy brief increases accessibility for non-technical audiences.
Post-Submission: Preparing for Review Outcomes
You will likely receive reviewer feedback that requires revision. This section helps you navigate responses and improve future submissions.
Interpreting reviewer comments
You should read reviews carefully, identify core concerns, and prioritize changes that address major methodological or ethical issues. Keep responses polite and evidence-based.
Preparing a revision
You should include a point-by-point response to reviewers, highlighting changes made and justifying choices. Where you disagree with a reviewer, explain respectfully and provide supporting evidence.
Handling rejection
You should treat rejection as an opportunity to strengthen your work. Use reviewer feedback to refine the manuscript and submit to a more suitable venue.
Additional Resources and Reading
You will benefit from resources that deepen your understanding of ethical AI research and evaluation practices.
Recommended readings
- Foundational texts on AI ethics and technology policy
- Methodological guides for fairness and interpretability research
- Case study collections illustrating ethical challenges in practice
Toolkits and datasets
You should explore repositories of open-source fairness tools, privacy-preserving libraries, and benchmark datasets that include demographic metadata and documentation.
Community groups and networks
You should consider joining interdisciplinary networks that focus on AI ethics. These communities offer mentorship, peer review, and collaboration opportunities.
Contact and Support
If you need clarification, you should contact the organizing committee or submission helpdesk. They can guide formatting questions, submission issues, and accommodation requests.
How to reach organizers
Check the official CFP page for email addresses, submission portal links, and social media channels. Provide clear subject lines and concise descriptions when seeking help.
Reporting problems
If you encounter technical issues with submission or have concerns about the review process, report them promptly with supporting details and screenshots if applicable.
Closing Thoughts and Call to Action
You are now equipped with the information needed to prepare a thoughtful, rigorous submission to the Call for Papers on Ethical Artificial Intelligence 2025. By contributing your research, you play a part in shaping how AI systems are designed, governed, and experienced.
Take time to refine your problem statement, ensure ethical compliance, and craft a clear narrative that connects your technical work to real-world implications. Your contribution matters, whether it is a theoretical analysis, an empirical study, or a practical case report.
If you plan to submit, mark the key dates, align with the submission guidelines, and reach out to peers for feedback. Good luck with your manuscript preparation — the field depends on contributions like yours to build safer, fairer, and more accountable AI systems.