The author suggests five ways to ensure reliable use of generative AI: applying a foundational layer for AI that makes sense for the task and industry; treating AI as a supplementary resource rather than a substitute for human knowledge; being prepared to troubleshoot potential flaws like "hallucinations"; raising organizational awareness about the limitations of AI; and increasing technical supervision of AI and its users to prevent the spread of unsound information. Proper frameworks and guardrails around the technology can create trust among leaders, users, and customers.
Key takeaways:
- Generative AI adoption is rapidly increasing, with large-scale adoption expected to reach nearly 50% by 2025. However, companies should be prepared for unexpected outcomes and ready to make adjustments as the technology evolves.
- For effective use of generative AI, it's important to tailor the output towards the specific industry, treat the AI as a supportive co-pilot rather than a substitute for human knowledge, and be prepared to troubleshoot when the AI produces inaccurate or unexpected outputs.
- Raising organizational awareness about the limitations and proper usage of AI can lead to more informed decisions and increased engagement with AI-generated content. Legal teams and HR leaders should prepare policies and training on using generative AI.
- Increasing technical supervision of AI and its users is crucial to prevent the dissemination of unsound information and misuse of systems. Administrators should establish permissions and rules around the types of outputs the AI can and cannot deliver.