Generative AI: Benefits, risks and a framework for responsible innovation

I had the opportunity to publish a framework for responsible innovation on behalf of SAS Institute. Here are a few snippets of the framework, check out the full blog post to learn more!

Generative AI (GAI) is a category of AI that can create new content, including video, audio, images and text. GAI has the potential to change the way we approach content creation.

It’s gotten much attention lately. Take ChatGPT for example. The AI chatbot has captivated the public’s imagination with clever answers, creative writing and helpful problem-solving – all driven by GAI technologies. Google has announced the release of the Bard chatbot. Salesforce has teased an EinsteinGPT solution. Prisma Labs became a household name when the Lensa image editing app took over social media in late 2022. As recently as February, Runway Research (the parents of Stable Diffusion) announced Gen-1 – the first video-based generative AI tool. Some organizations even offer complete generative AI product suites. Moreover, the global market for GAI is expected to reach US$110.8 billion by 2030!…

…The novelty of GAI offers the first mover advantage to the most agile businesses. However, most innovation introduces uncertainty and risks to an organization. Before investing capital into GAI business improvements and divulging proprietary information to a new tool, organizations should weigh their use cases' potential risks and rewards. The best way for a business to establish an effective strategy is to start with organizational values. At SAS, we established our principles to help us answer the question of “can we” and “should we” adopt this new technology. We propose this model and the questions below as a starting point for the responsible usage of GAI. It's possible that some of the questions may not be relevant for every GAI. In those situations, organizations should decide whether to adopt alternative principles….