Generative AI: Magical but Manage the Risks

4 Ways to Overcome Your Biggest Fears About Generative AI

Generative AI seems like magic, but organizations must understand its limitations and risks. Leaders from Munch Museum, Gartner, Toyota, and Nash Squared explain how to safely adopt this emerging technology.

- Birgitte Aga of Munch Museum says generative AI creates opportunities to make art more accessible. But exploit opportunities ethically. Collaborate with partners aligned on ethics. At Munch Museum, they work with TCS to ensure AI's potential impact is understood.

- Gartner's Avivah Litan says build an AI task force to manage risks. The task force supports common understanding across business. They know what to expect and can create value. Without it, security and risk teams struggle to keep up with generative AI's fast deployment.

- Toyota's Thierry Martin wants restrained language models tied to provided data. Unrestrained models can hallucinate. Interested in Snowflake and Nvidia creating custom models from enterprise data. But be cautious.

- Nash Squared's Bev White warns the reality of using AI may differ from the hype or scaremongering. Regulation needs to keep up. Progress slowly to manage expectations while figuring out how to use the technology. It's like inventing a rocket without stabilizers.

Don't rush into generative AI. Move carefully by building an AI task force, choosing ethical partners, creating restrained models tied to your data, and progressing slowly as you discover the reality of using this technology. With the right approach, generative AI can be safely harnessed to power innovation. But be wary of the risks and limitations. The future is bright, if we're prepared.