Call for Papers

Artificial intelligence (AI) is rapidly reshaping every aspect of society, transforming industries, public services, and personal life. While AI promises efficiency, innovation, and unprecedented opportunities, it also brings with it significant challenges—ranging from security vulnerabilities and privacy breaches to algorithmic bias, social inequality, and ethical dilemmas. These risks, if left unaddressed, threaten to erode public trust and undermine the safe adoption of AI.

The Security, Privacy, and Ethics in AI special track provides a dedicated forum to examine and address the multifaceted risks that accompany AI’s progress. We will explore how to secure AI systems against malicious or unintended consequences, safeguard personal data, and ensure AI development and deployment remain aligned with fairness, transparency, and accountability. This requires not only technological advancements but also thoughtful policy, regulatory, and societal responses.

Topics of interest include, but are not limited to, technical strategies to strengthen AI system security and resilience against cyber threats; privacy-preserving machine learning and data protection mechanisms; approaches to mitigate bias and discrimination in AI datasets and models; ethical frameworks for responsible AI design and deployment; policy and legal measures to address emerging risks in AI and smart systems; case studies on AI-related incidents and regulatory responses; and educational as well as capacity-building strategies for embedding AI ethics in practice.

The track encourages contributions from researchers, practitioners, policymakers, and industry experts, fostering an interdisciplinary dialogue to bridge technical, legal, and ethical perspectives. Sessions will address the urgent need for practical solutions—ranging from secure system design and privacy safeguards to regulatory reforms and international governance models.

In recent years, the global community has moved toward establishing AI ethics principles and guidelines. However, the challenge lies in translating these principles into enforceable policies and operational practices. This special track will serve as a platform to share cutting-edge research, best practices, and forward-looking strategies for embedding ethical considerations into AI innovation. By bringing together diverse voices, we aim to develop actionable insights that can shape a safe, fair, and trustworthy AI society. 

Topics

The track will explore the following topics in general and welcome all related discussions to artificial intelligence security, privacy, and Ethics:

Security and Privacy

• Security and Privacy risks and preservation in ML model building process.

• Security in reusing/sharing AI, ML, DL models (e.g. model poisoning)

• Leakage of confidential recordings from smart speakers/devices/platforms

• Security risk events detection, security intelligence

• Semantic models and knowledge engineering for security and privacy

• Security and privacy behavior modeling for autonomous intelligent systems

• Security and privacy intelligence and analytics of Big data

• Security and privacy-aware decision support

• Security and privacy mechanisms for intelligent IOT

• Fake news, content tampering, voice alteration, truthfulness of data

• Al trustworthiness

AI Ethics

• Explainable and interpretable AI

• Long-term impact and sustainable AI

• Unfairness, biases, racism, ethical issues in intelligent agents and AI models

• Responsible and accountable AI

• Human autonomy and control on AI

• Adversarial and threat actors in deep learning and their ethical guidelines

• Process transparency and accessibility in AI algorithms

• Privacy and data collection ethics

• Discriminatory AI models for housing, employment, and other decision-making

• Online risk behavior detection algorithm (e.g. Trolls, hate, suicides, etc.)

• Digital divide and stakeholder engagement

AI Policy and Regulations

• AI in government

• Regulation and governance on AI technology

• Predictive policing, court sentencing, incarceration

• Information and psychological warfare

• Privacy, intellectual property, and data protection

• Public-private cooperation norms

• International cooperation norms

• AI standardization

• AI education and distribution policy

• Public perception and communication

• Online attacks/storms, social media bullies, and other online ills

Knowledge Infrastructure for Security, Privacy & Trust

• Security/privacy/trust ontology

• Knowledge Graph for security/privacy/fraud reasoning and detection

• Reasoning and inference for security, privacy, and trust assessment

• Design requirements for enhancing security, privacy and trust in AI system

• Knowledge Production Value Chain protection

• Workforce Education and training for AI security, privacy, and trust

Security, privacy and trust solutions in Applied AI systems in the following domain specific areas but not limited to:

• AI, GenAI risk/impact assessment in Enterprise/Business Systems

• AI for cyber security, intrusion detection, network security

• Self-driving cars 

• Robotics, chatbots

• AI security for medicine, Healthcare

• Privacy, Ethics & Trust in Connected Healthcare (wearables, iot)

• AI-driven smart cities, transportation, public safety

• Scientific discovery, bioinformatics

• Prediction and profiling models in Business, supply chain

• Governments & the non-profit sector

• National security and Cyber Defense Applications

• Education, e-learning, student tracking

• Mobile security, location privacy 

• Embedded systems, grid systems, cyber physical systems security, 

• Multimedia content sharing

• Cloud-based systems

• Social media, behavior tracking

• Entity tracking, surveillance 

• Authentication, biometrics

• Forensics, intrusion detection

• Face recognition, image/NLP/video manipulations, etc.

Submission Guidelines

Submitted papers must be original, and not submitted concurrently to a journal or another conference. Double-blind reviewing will be provided, so submitted papers must use fake author names and affiliations. Papers must follow the FLAIRS template guidelines (FLAIRS-39 - Call For Papers ) and be submitted as a PDF through the EasyChair conference system. (Do NOT use a fake name for your EasyChair login; your EasyChair account information is hidden from reviewers.)

FLAIRS will not accept any paper which, at the time of submission, is under review for or has already been published or accepted for publication in a journal or another conference. Authors are also required not to submit their papers else where during FLAIRS's review period. These restrictions apply only to journals and conferences, not to workshops and similar specialized presentations with a limited audience and without archival proceedings. Authors will be required to confirm that their submissions conform to these requirements at the time of submission.

Important Dates

Abstract submission deadline: January 19, 2026 (Abstract submission is mandatory to submit full paper!)

Paper submission deadline: January 26, 2026

Paper acceptance notifications: March 9, 2026 

Camera ready version due: April  6, 2026

Program Committee

Track Chair

Hun-Yeong Kwon, Korea University, South Korea, (khy0@korea.ac.kr)

Program Committee Members

Sang-kyun Lee, Korea University, South Korea

Junghee Lee,  Korea University, South Korea

Beop-Yeon Kim, Korea University, South Korea 

Sang-Pil Yoon, Korea University, South Korea

Ji-Hun Lim, Korea University, South Korea

Hyesung Park, Korea University, South Korea

Sang-Hyuk Cha, Pace University, USA

Loni Hagen, University of South Florida, USA

Lisa Webley, University of Birmingham, United Kingdom

Mi-Ryang Kim, Sungkyunkwan University, South Korea

Tai-Won  Oh, Kyungil University,  South Korea

Teryn Cha, Essex County College, USA

Mario Fritz, CISPA Helmholtz Center for Information Security, Germany

Yoon-Seok  Ko, National Information Society Agency, South Korea

Further Information

FLAIRS-39