In today's rapidly evolving digital landscape, understanding the interplay between generative AI and data protection is not just an asset, but a necessity. This transformative course is designed to delve deep into the crucial privacy, security, and compliance aspects of working with Generative AI (GenAI) technologies. As accountants increasingly integrate AI tools into their workflows, the stakes for safeguarding sensitive information and ensuring ethical AI practices have never been higher. Our masterclass is tailored to meet the unique needs of modern accountants, providing a thorough and practical exploration of how to navigate the complexities of secure data sharing with GPT models, implement robust AI policies, and master the intricacies of AI copyright compliance. With a focus on real-world applications and emerging threats, such as deepfakes and their implications for fraud and misinformation, this course is your gateway to becoming a trusted expert in the field. Join us to future-proof your career and lead with confidence in the digital age. This event may be a rebroadcast of a live event and the instructor will be available to answer your questions during the event.
Learning Objectives
After attending this presentation, you will be able to...
- Analyze the essential privacy, security, and compliance considerations when working with Generative AI technologies.
- Identify best practices for secure data sharing with GPT models.
- Evaluate the do’s and don’ts of AI policy implementation to ensure regulatory adherence.
- Analyze AI copyright compliance and its implications for your organization.
- Assess the increasing threat of deepfakes and their potential impact on fraud and misinformation.
- Apply ethical AI practices to uphold data ethics and safeguard sensitive information.
- Design strategies to mitigate risks associated with AI deployment in professional environments.
- Implement robust security measures to protect data integrity and confidentiality.
- Create comprehensive AI policies that align with industry standards and legal requirements.
- Monitor ongoing AI activities to ensure continuous compliance and ethical usage.
Major Topics
The major topics that will be covered in this course include:
- Fundamentals of GPT Builder and AI agent customization techniques
- Integration of specialized knowledge bases and domain-specific expertise
- Security and privacy considerations in AI chatbot deployment
- Custom GPT development without coding expertise
- Implementation of AI agents for customer support and workflow automation
- Multi-bot interactions and content creation strategies
- Best practices for maintaining and scaling AI assistants
