Call for Papers

Artificial intelligence (AI) is becoming an integral part of our daily lives. AI is driving innovation across various industries, permeating not only the public sector but also our homes and workplaces. However, AI can also lead to issues such as social inequality through data bias, breaches of privacy, and concerns over security and safety, which are causing widespread apprehension across society.

To prepare for a safe and trustworthy AI era, it is essential not only to improve AI technology but also to focus on how to achieve technological innovation while minimizing the risks associated with AI.

To this end, it is necessary to ensure the security of AI systems, prevent malicious or unintended consequences caused by AI, respect privacy, and develop and use AI fairly and ethically through technical, social, and institutional responses.

This special track aims to explore solutions to the security, privacy, and ethical risks faced by AI society, with the ultimate goal of realizing public values based on safety and trust. It seeks to inspire innovative ideas from an interdisciplinary community.

The track will be a venue for sharing security, privacy, and ethical issues arising in the AI model-building cycles in the context of using AI systems. It will provide a venue for discussing technical, social/behavioral, and policy solutions to counter cyber threats for the AI and Machine Learning systems from design to use.

In addition, the track will provide sessions to discuss the adverse effects caused by Al, ethical values, and review the direction of Al/smart system policy and regulations. it will offer sessions to discuss the negative impacts of AI, ethical values, and review policies and regulatory directions for AI/smart systems. In recent years, numerous ethical side effects have surfaced as AI services have been adopted. The international community has begun to establish ethical principles and guidelines to address these ethical issues, and there is a growing demand for concrete regulatory and policy measures in response to ethical failures. Furthermore, we aim to share new ideas on various strategies, including educational approaches, for embedding and practicing AI ethics.

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 (https://www.flairs-38.info/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 20, 2025 (Abstract submission is mandatory to submit full paper!)

Paper submission deadline: January 27, 2025

Paper acceptance notifications: March 10, 2025 

Camera ready version due: April  9, 2025

Program Committee

Track Chair

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

Program Committee Members

Junghee Lee,  Korea University, South Korea

Moon-Ho Joo, Korea University, South Korea 

Sang-Pil Yoon, Korea University, South Korea

Teryn Cha, Essex County College, USA

Loni Hagen, University of South Florida, USA

Sang-kyun Lee, Korea University, South Korea

Lisa Webley, University of Birmingham, United Kingdom

Beop-Yeon Kim, Korea University, South Korea 

Mi-Ryang Kim, Sungkyunkwan University, South Korea

Tai-Won  Oh, Kyungil University,  South Korea

Seung-Youn Dho, Kwangwoon University, South Korea

Kyung Jin CHA, Hanyang University, South Korea

Ji-Hun Lim, Korea University, South Korea

Further Information