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.

Topics Include:

• Introduction: What is AI Security, Privacy and Compliance (AISPC)?
• Why AI Security, Privacy and Compliance (AISPC) is Increasingly Important for Accountants
• AISPC Policy Best Practices
• Key Tactical Questions for Addressing Data Security and Privacy
• OpenAI and Compliance with Government Regulations
• OpenAI and Two-Factor Authentication
• Other OpenAI Security, Privacy and Compliance Considerations
• Best Practices for Secure Data Sharing with GPT
• How to Create a GenAI and ChatGPT Usage Policy for Your Operations
• General AI Policy Do’s and Don’ts
• AI Copyright Compliance & Protection Guide
• Deepfakes and Synthetic Media: A New Frontier for Fraud and Misinformation
• From Financial Oversight to AI Governance: The Sarbanes-Oxley Legacy and Accountants' New Frontier in AI Security, Privacy, Compliance and Ethics

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By the end of this course, participants 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.