As the integration of Artificial Intelligence (AI) in cybersecurity applications continues to accelerate, it is crucial to prioritize ethical considerations and principles to ensure the responsible development and deployment of these technologies. This online event will focus on exploring the ethical dimensions of AI in cybersecurity, addressing critical issues such as privacy, transparency, accountability, and bias. Attendees will gain invaluable insights into the ethical frameworks, guidelines, and best practices that should guide the design, implementation, and governance of AI systems in the cybersecurity domain.

Key Highlights:

• Understand the ethical principles and frameworks relevant to AI in cybersecurity
• Explore real-world case studies and ethical dilemmas in the use of AI for cybersecurity
• Learn about strategies for promoting transparency, accountability, and fairness in AI systems
• Gain insights into privacy-preserving techniques and data protection mechanisms
• Discover tools and methodologies for detecting and mitigating bias in AI models
• Engage in discussions on ethical governance and regulatory frameworks for AI in cybersecurity

Topics Covered:

1. Ethical Principles and Frameworks for AI in Cybersecurity
   • Ethical guidelines and principles (e.g., IEEE, AI4People, AI Ethics Guidelines)
   • Ethical risk assessment and risk management frameworks
      
2. Privacy and Data Protection
   • Privacy-preserving AI techniques (e.g., differential privacy, federated learning)
   • Data minimization and anonymization strategies
   • Compliance with data protection regulations (e.g., GDPR, CCPA)
      
3. Transparency and Accountability
   • Explainable AI (XAI) and interpretable models
   • AI system auditing and monitoring
   • Accountability mechanisms and responsible AI practices
      
4. Fairness and Bias Mitigation
   • Identifying and mitigating bias in AI models
   • Algorithmic fairness techniques and metrics
   • Inclusive and diverse data practices
      
5. Ethical Governance and Regulation
   • Ethical frameworks and guidelines for AI governance
   • Regulatory landscapes and emerging policies for AI in cybersecurity
   • Stakeholder engagement and public trust in AI systems
      
6. Case Studies and Real-world Applications
   • Ethical challenges and dilemmas in the use of AI for cybersecurity
   • Best practices and lessons learned from industry leaders

The event will feature keynote speakers, panel discussions, and interactive sessions, providing attendees with a comprehensive understanding of the ethical frameworks, guidelines, and best practices that should guide the design, implementation, and governance of AI systems in the cybersecurity domain.