Generative AI Report:

The Evolving State of IP Risks & Mitigations

The widespread adoption of generative AI tools like ChatGPT to boost productivity has brought about new cybersecurity and intellectual property challenges. While traditional cyber threats persist,  the unique nature of generative AI has created new challenges, particularly related to ownership of content and data. The rapid development of this technology has outpaced legal frameworks, companies must take a thoughtful, safe approach or risk compromising sensitive data.

This paper aims to analyze the current intellectual property landscape related to generative AI, including ongoing legal disputes and potential mitigation strategies for businesses to safely adopt Generative AI tools.

Generative AI Report

What You'll Learn:

  • Optimize training data selection and licensing
  • Safeguard your intellectual property and sensitive data
  • Establish internal policies and procedures for risk reduction
  • Choose the right AI models for your business goals

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John Jeske-1

Meet the Author:

John Jeske is a current Solutions Architect and former CTO with decades of experience in IP protection in technology for companies like Dell. John extensively utilizes and consults on emerging technology, machine learning, and generative AI.

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