Data Privacy, Security, Ethics and Compliance in a Data-Driven World

Overview

Join the exploration of the ethical challenges that accompany data-driven technologies. Delve into the crucial aspects of privacy, security, and compliance, while equipping yourself with the essential tools and strategies to mitigate risks and uphold integrity.

As AI and big data continue to evolve, gain valuable insights into navigating these landscapes effectively.

This event is an invaluable resource for professionals and enthusiasts looking to stay ahead in the realm of data privacy and security. It offers a comprehensive understanding of the current issues and future challenges in a world increasingly driven by data.

Accessible through YouTube, this event is part of a series under the categories of Artificial Intelligence Courses and Conference Talks, providing a robust platform for continuous learning and engagement in the fast-paced world of technology.

Syllabus

• Introduction to Data Privacy, Security, Ethics, and Compliance
Overview of data-driven technologies
Key concepts and definitions
• Ethical Challenges in Data-Driven Technologies
Understanding ethical dilemmas in AI
Case studies of ethical breaches in AI and data use
• Privacy in the Age of Big Data
Principles of data privacy
Privacy by design and default
Tools for ensuring data anonymity and minimizing collection
• Data Security Fundamentals
Common threats to data security
Best practices for data protection
Encryption and secure data storage methods
• Compliance and Legal Frameworks
Overview of global data protection regulations (GDPR, CCPA, etc.)
Understanding compliance requirements and implications
Strategies for achieving and maintaining compliance
• Mitigating Risks in AI and Big Data
Risk assessment and management in AI applications
Developing and implementing data governance frameworks
Conducting impact assessments and audits
• Case Studies: Successes and Failures
Analysis of real-world case studies on data privacy and security
Lessons learned from compliance failures and successes
• Future Trends and Challenges
Emerging trends in AI and data privacy
Anticipating and preparing for future regulation changes
The evolving role of ethics in AI development
• Practical Strategies for Maintaining Integrity
Building ethical AI models and algorithms
Fostering a culture of privacy and ethics in organizations
• Conclusion and Course Review
Recap of key concepts and strategies
Discussion: future of data privacy, security, and ethics
• Final Project
Develop a comprehensive strategy to address privacy, security, ethics, and compliance in a hypothetical organization or project scenario

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Subjects

Conference Talks