Generative AI Training for Employees: Security Risks, Data Protection and Ethics Awareness Training
What you will learn
Cyber Security risks of Generative AI tools
Understand data leakage and security risks when using Generative AI
Apply security best practices when using ChatGPT and similar AI tools professionally
Recognise risks such as Prompt Injections and how to mitigate those risks
Ethical AI use – using AI in a way that is fair, honest, and transparent
Practical strategies on how to mitigate security risks and protect your data when using Generative AI
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- Course Overview
- Embark on a critical journey into the evolving landscape of Generative AI and its profound implications for organizational cybersecurity, data privacy, and ethical conduct. This comprehensive training program is designed to equip every employee with the essential knowledge and practical skills to navigate the potential pitfalls of these powerful technologies.
- Discover how the rapid adoption of Generative AI tools, while offering unprecedented productivity gains, also introduces novel vulnerabilities that could compromise sensitive information and brand reputation.
- Gain a nuanced understanding of the ethical considerations surrounding AI-generated content and its responsible deployment within the workplace.
- This course moves beyond theoretical discussions to provide actionable strategies for mitigating risks and fostering a culture of secure and ethical AI usage.
- Requirements / Prerequisites
- Basic computer literacy and familiarity with common workplace software.
- An interest in understanding new technologies and their impact on business operations.
- No prior technical expertise in artificial intelligence or cybersecurity is required.
- Access to a device with internet connectivity for online course modules.
- Skills Covered / Tools Used
- Risk Assessment: Developing a proactive approach to identifying and evaluating potential security threats associated with Generative AI.
- Data Governance: Implementing protocols for safeguarding sensitive information when interacting with AI models.
- Threat Mitigation: Learning to recognize and neutralize emerging attack vectors targeting AI systems.
- Responsible AI Practices: Cultivating a framework for ethical AI deployment that aligns with organizational values and legal requirements.
- Prompt Engineering Security: Understanding how crafted prompts can be exploited and developing secure input methods.
- Scenario-Based Learning: Engaging with realistic case studies and simulations to reinforce learning.
- Benefits / Outcomes
- Enhanced Security Posture: Significantly reduce the risk of data breaches and cyber incidents stemming from Generative AI use.
- Improved Data Protection: Safeguard confidential and proprietary information from unauthorized exposure.
- Ethical AI Champions: Foster a workforce that understands and upholds the principles of fair, honest, and transparent AI interaction.
- Increased Productivity with Confidence: Empower employees to leverage Generative AI tools effectively while minimizing associated risks.
- Compliance Assurance: Contribute to organizational adherence to data protection regulations and ethical guidelines.
- Proactive Risk Management: Develop the foresight to anticipate and address future challenges presented by AI advancements.
- PROS
- Provides essential, up-to-date knowledge for navigating the complexities of Generative AI in a professional setting.
- Offers practical, actionable strategies that can be implemented immediately by all employees.
- Empowers individuals to become more vigilant and responsible users of AI technologies.
- Helps organizations build a stronger defense against emerging cyber threats related to AI.
- Fosters a culture of awareness and ethical consideration around AI.
- CONS
- The rapidly evolving nature of Generative AI means that continuous learning and updates will be necessary beyond the scope of this initial training.
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