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Navigating the AI Landscape: Ethics and Regulations

 
Recorded: January 22, 2024
Duration: 1 Hour
Presenter: Christine Thomson
Category: AI

This isn’t science fiction anymore. Artificial Intelligence (AI) is revolutionizing industries, and understanding it is key to staying ahead. Christine Thomson, a highly sought-after technical expert, speaker, and author will guide you through a candid exploration of the current state of AI and its real-world applications. She will teach you how to make informed decisions about AI for your business, identify opportunities to leverage AI for efficiency and growth and navigate the ethical and regulatory considerations of AI implementation.

In this 1-hour session, Christine will discuss:

  • What AI is: Ditch the jargon and unlock the practical realities of AI systems.
  • Building trustworthy AI: Learn the essential principles of AI ethics.
  • Regulatory compliance in AI systems: Discover proven AI strategies used by leading organizations.

Audience:

  • AI and Machine Learning Practitioners
  • Cybersecurity Professionals
  • IT Regulatory and Compliance Officers
  • Decision Makers and Executives

Prerequisites:

  • Foundational Knowledge in AI and Machine Learning
  • Familiarity with Data Management
  • Basic Cybersecurity Concepts

Duration: 60 minutes

Cost: Free!

This webinar is a snapshot of our full AI Security training course, WA3410: AI Security, Compliance, and Explainability.

About the Presenter:

Christine Thomson specializes in emerging technologies, helping organizations capitalize on new ways to inspire their endeavors. With a remarkable career spanning over two decades, she has demonstrated her expertise by collaboratively working with a diverse array of client√®le worldwide. Christine excels in constructing and enhancing IT initiatives, seamlessly aligning them with overarching business strategies to actualize enterprise visions.¬† Christine’s focus extends to the forefront of technological innovation, actively engaging in cutting-edge areas such as Data Science, Analytics, Machine Learning, and Artificial Intelligence.

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