AI Model Safety
Part 2 of 6 in “Generative AI and Comprehensive Enterprise Safety”
Safeguarding your enterprise from the AI Model
© Deepam Mishra 2023. All Rights Reserved | www.tbicorp.com
In today’s fast-paced business world, Generative AI models have become invaluable tools for enterprises. They power chatbots, automate content generation, and assist in decision-making processes. However, while leveraging the capabilities of these models, it’s crucial for businesses to ensure the safe use of these models as well as the protection of their intellectual property (IP) rights. In this article, we will explore three specific areas that can pose risks and provide strategies to deal with them effectively.
1. Model Usage Risks
When engaging with a Language Model (LLM) provider, it’s essential to start by reviewing the license agreement. This document outlines the terms and conditions of usage, including any restrictions. Here’s how you can ensure model usage restrictions are upheld:
(a) Review License Agreement: Carefully read and understand sections related to usage restrictions, terms of use, and any prohibited activities. It’s vital to have a clear understanding of what is allowed and what isn’t.
(b) Implement Technical Controls: Implement technical controls to enforce usage restrictions. These controls can prevent the model from generating certain types of content or accessing restricted data. Technical measures provide an additional layer of protection.
(c) Geographical Restrictions: If your business operates in specific regions or countries with unique legal requirements, consider using IP blocking or other mechanisms to enforce geographical usage restrictions.
(d) Contact Provider: If there are any ambiguities or uncertainties in the license agreement, don’t hesitate to reach out to the LLM provider for clarification. A clear line of communication can help avoid potential issues down the road.
2. 3rd Party IP Violation Risk
Third-party IP violations can lead to significant legal and financial consequences. To protect your enterprise, consider the following strategies:
(a) Review IP Clauses in License Agreements: Ensure that the license agreement with the LLM provider includes provisions addressing IP rights, liability, and indemnification. A robust indemnification clause is crucial, holding the provider responsible for IP infringement claims.
(b) Insurance Coverage: Consider obtaining IP liability insurance to mitigate the financial risks associated with IP infringement claims. Ensure that the policy covers content generated by the LLM.
© Audit Generated Content: Regularly audit the output generated by the LLM for potential IP violations. Utilize copyright detection tools to identify instances where the model may have copied or used copyrighted material without authorization.
(d) Content Licensing: Verify that the LLM provider has the necessary licenses for any datasets or content used to train the model. Unauthorized use of copyrighted material in training data can lead to IP violations.
(e) Legal Opinion Letter: Request a legal opinion letter from the LLM provider’s legal counsel, confirming that their services do not infringe on third-party IP rights. This additional layer of protection can provide peace of mind.
3. Data Re-use Restrictions
Protecting your data and ensuring it’s not misused or reused by the AI Model provider (without consent) is vital. Here’s how to address data re-use restrictions:
(a) Data Ownership Clause: Review the contract or agreement with the LLM provider, paying close attention to clauses related to data usage, data ownership, and data protection. Ensure the language aligns with your organization’s data protection policies.
(b) Data Access Logs: Request access logs from the provider to track who has accessed your data and for what purposes. Transparency in data access is essential for accountability.
(c) Data Encryption: Ensure that your data is encrypted when stored or transmitted to the provider. Encryption adds an extra layer of protection against unauthorized data access.
(d) Third-party Auditors: Consider hiring third-party auditors or security experts to conduct independent audits of the provider’s data handling practices. They can assess whether your data is being reused without consent.
(e) Privacy Compliance: Verify that the provider complies with data privacy regulations and standards, such as GDPR, HIPAA, or CCPA, depending on your industry and location.
(f) Data Retention Policies: Understand the provider’s data retention policies and ensure they align with your agreement. Your data should be deleted as per the agreed-upon schedule when it’s no longer needed.
In conclusion, ensuring model safety and safeguarding your enterprise’s intellectual property when engaging with Language Model (LLM) providers is a multifaceted endeavor. It requires a combination of legal diligence, technical controls, and ongoing monitoring. By reviewing license agreements, implementing robust indemnification clauses, auditing generated content, and ensuring data protection, you can harness the power of AI while protecting your organization’s valuable assets. Remember that proactive measures today can prevent costly legal battles and safeguard your business’s reputation in the long run.
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Next Up (coming soon): Part 3 — Data Risk with Generative AI
