"4 Types of Gen AI Risks and How to Mitigate Them" -

From the Harvard Business Review:

However, many organizations are understandably hesitant to deploy gen AI applications, concerned about privacy and security threats, copyright infringement, potential bias or discrimination in the output, and other dangers. The downsides of widespread deployment of gen AI range from the mildly annoying (such as personalized spam) to the truly devastating (such as rapidly depleting water sources in vulnerable parts of the planet to support the largest data centers in history). Some organizations have even banned its use by employees. For example, Apple and Samsung banned internal use of ChatGPT, especially by their software development teams, after they noticed code being uploaded to the platform that could put them at risk of losing sensitive information.

Currently, governments are rushing to develop rational frameworks and laws to manage this technology and its drawbacks, leaving businesses largely to solve these problems on their own. Clearly, not all risks posed by Gen AI are the same, and we need to understand them and manage them accordingly. In this article, we propose a high-level framework to categorize potential challenges within the Gen AI environment and provide managers with ways to mitigate them.

A Blueprint for the Risks of Generative AI

We categorize gen AI risks based on two components: intent and usage. We distinguish between accidental misuse of gen AI and deliberate misconduct (intent). Similarly, we distinguish using gen AI tools to create content from consuming content created by other parties using gen AI (usage). We believe that each of the four types of risk highlighted in our framework poses different challenges.

Exploitation

Misuse

Misrepresentation

Unfortunate events