What Security Measures Are Necessary to Trust in AI - Panel Discussion

Overview

Explore a panel discussion featuring leading experts who address the vital security protocols necessary to cultivate trust in artificial intelligence. This engaging session will dive deep into the various challenges faced when implementing trustworthy AI systems, providing insights into solutions that ensure ethical and reliable AI deployment.

Whether you're an AI enthusiast or a professional, this dialogue promises to deliver valuable perspectives on the future of AI security.

Syllabus

• **Introduction to AI Security Concerns**
Overview of AI security issues
Importance of building trust in AI systems
• **Threats to AI Systems**
AI vulnerabilities and attack vectors
Case studies of security breaches in AI
• **Data Privacy and Protection**
Ensuring data integrity and confidentiality
GDPR and other relevant regulations
• **Building Reliable AI Systems**
Robustness in AI models
Methods for error detection and correction
• **Ethical Considerations in AI Security**
Addressing bias and fairness in AI
Transparency and explainability of AI decisions
• **Implementing Security Measures**
Secure software development lifecycle for AI
Encryption, authentication, and access control in AI systems
• **AI Governance and Regulation**
Roles of government and industry in AI security
Key regulations and frameworks guiding AI security
• **Panel Discussion: Current Challenges and Future Solutions**
Expert insights on emerging security challenges
Innovative solutions and future trends in AI security
• **Q&A and Open Discussion**
Audience questions
Sharing of best practices and insights
• **Conclusion and Takeaways**
Summary of key points
Building a roadmap for secure AI deployment

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Subjects

Conference Talks