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

סקירה כללית

Engage with leading experts in AI as they investigate the vital security measures required to build and maintain trust in artificial intelligence systems. This panel discussion, available on YouTube, is an enlightening exploration of the complex challenges and innovative solutions necessary for implementing AI that is both reliable and ethical.

Perfect for those interested in the intersection of technology and ethics, this session offers valuable insights from professionals at the forefront of artificial intelligence.

Discover how to overcome potential hurdles and understand the steps needed to ensure AI systems are secure and trustworthy, fostering greater confidence in their capabilities and outcomes.

סילבוס

• **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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נושאים

Conference Talks