Generative AI Training: Security, Data, Ethics For Employees

Generative AI Training for Employees: Security Risks, Data Protection and Ethics Awareness Training

Description

Learn how to use Generative AI tools like ChatGPT safely at work — protect data, privacy and learn about security risks when using GenAI. Learn how to use Generative AI ethically.

Generative AI is transforming all industries across the world and is a multiplier for productivity for professionals across the board — from writing emails to analysing data, summarising reports as well as proposing business strategies. However, with this great power, AI also introduces new challenges of data leaks, security breaches, and ethical issues.

This course is designed to help employees, managers, and teams understand the security, risks, responsibilities, and best practices when using Generative AI tools like ChatGPT in a work environment.

Whether your organisation has adopted GenAI revolution a while ago, or has just started its journey, this awareness training course with help you understand the underlying security risks, data leakage possibilities as well as offer best practices to use Generative AI tools like ChatGPT securely, ethically, and in line with workplace compliance.

What You’ll Learn

• Understand the fundamentals of Generative AI and its impact on workplaces around the world

• Understand how prompts can lead to data leakages and how to mitigate those risks

• Analyse how output generated by GenAI tools can still lead to data leaks or security breaches

• Recognise malicious prompt injection attacks and how to avoid them

• Identify and mitigate risks of cross-account access and shadow GenAI

• Leverage practical strategies to mitigate data leaks and security breaches

• Apply the principles of transparency, honesty and fairness when using AI

• Recognise and understand common ethical issues such as plagiarism, originality and AI-misrepresentation

• Apply Responsible AI use principles — mitigating plagiarism and ensuring originality and authenticity

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