A Framework for Safe Generative AI Adoption

As patchwork generative AI deployments rise for short-term gains, new research suggests that this approach creates IT headaches and introduces threats in the long run.

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The Framework for Safe Generative AI Adoption

Development Policy

User Controls

Safety and Fairness

Legal and Regulatory

Enterprise-Grade Security

Usage Policy

AI-Aware Security Program

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Privacy by Design

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Close

Implementation

Contractual

A Framework For Safe Generative AI Adoption I 2

User Controls

Enterprise-Grade Security

Safety and Fairness

Privacy by Design

Selection

Legal and Regulatory

The adoption of generative AI has been unprecedented; in early 2023, the adoption of GPT by the general population reached one million users in 1/15th of the time it took its closest comparison, Instagram. The only thing keeping pace are the literal thousands of new generative AI providers and product offerings currently in the market (and that list grows every day). With such an expansive list of options, how does one even begin to identify and select a reliable and trustworthy provider? Our process of vetting and selecting a reputable provider that met the high standards required to deliver on our commitments to our users came down to five key elements. These nonnegotiables are: (1) privacy by design, (2) enterprise-grade security, (3) users control their data, (4) safety and fairness embedded in the product, and (5) adherence to legal and regulatory requirements. At Grammarly, the core theme underpinning each of the decision drivers was user trust and safety. By keeping your end-user in mind, and committing to protecting them and their data, you can immediately weed out a lot of the noise in the market. The market today is flooded with new players, some of whom don’t have the maturity you need to ensure that you can deliver a secure generative AI product experience. We made it our top priority to select a partner who met these needs, and here is how you can do the same.

A Framework For Safe Generative AI Adoption I 3

Contractual

Close

You have chosen a partner you can trust and have done your due diligence. Now let’s delve into what you need to know when working with your selected generative AI product/partner to close the deal. Closing a deal through contracting ensures that the generative AI provider you have selected meets all of your requirements—in writing. Generative AI introduces a unique set of challenges to your business and it's key to incorporate generative AI, at minimum, in a way that meets your business needs.

A Framework For Safe Generative AI Adoption I 9

Development Policy

Usage Policy

Safety and Fairness

Implementation

Lastly, it is not enough to find and secure the right generative AI provider for your business; you must implement it effectively and safely. In an effort to get work done, employees will find creative ways to use generative AI tools that may put your organization at risk. Successful implementation hangs on creating policies and training for both usage and development, and having processes in place to identify and mitigate security incidents proactively.

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