By David Santana | 55 Min Video

In this session, we explore the ethical and privacy challenges of AI’s role in managing sensitive data. Learn how to ensure compliance with frameworks like NIST AI RMF and implement best practices to protect personal information, equipping you to tackle generative AI challenges in today’s digital world.

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Ethical Frameworks

• Introduces ethics models (e.g., deontology, utilitarianism) for evaluating AI.

Privacy Challenges

• Discusses privacy threats like surveillance, profiling, and data misuse.

Mitigation Strategies

• Technical measures: data anonymization, encryption.
• Governance approaches: bias audits, transparent AI policies.
• Legal frameworks: GDPR, CCPA.

Stakeholder Focus

• Highlights the obligations of developers, corporations, and regulators in protecting digital rights.

Instructor Bio:

David is an AI & Data Multi-Cloud architect and executive engineer, certified trainer, course developer, and cloud evangelist. David’s vision is to drive digital innovation to modernize application frameworks and services. David’s passion for software engineering and data science has made him the lead developer, and lead trainer in various cross-industry projects.