As organizations increasingly adopt generative AI (gen AI), effective onboarding becomes crucial for maximizing its potential and mitigating risks. Unlike traditional tools, generative AI systems, such as large language models (LLMs), require comprehensive training and oversight. Many companies mistakenly treat these AI tools as self-sufficient without proper instruction, risking suboptimal performance and potential liability.
Recent studies indicate that by 2024 to 2025, nearly a third of companies experienced significant growth in AI usage and acceptance, highlighting the necessity for governance in a rapidly evolving technological landscape. Gen AI operates as a probabilistic system, learning from interactions and adapting to new data. This characteristics underscore the importance of continuous monitoring to prevent model drift, which can lead to faulty outputs.
Beyond technical considerations, improper onboarding can lead to real-world consequences. For example, inaccurate information provided by an AI chatbot resulted in Air Canada being held liable in a tribunal. Additionally, instances of misinformation and bias have surfaced, including a situation where an AI-generated reading list recommended nonexistent books, causing retractions from major publications. Moreover, mishandling sensitive data, such as with Samsung employees copying proprietary information into ChatGPT, demonstrates the need for clear risk management strategies.
To ensure successful deployment, enterprises should onboard AI systems in a manner akin to human staff. This involves defining roles, providing contextual training, utilizing simulations prior to launch, and establishing cross-functional mentorship. Regular audits and performance reviews must also be part of the ongoing process.
As AI becomes integrated into various business functions, the urgency for effective training and governance is mounting. Organizations that prioritize thorough onboarding are more likely to achieve transparency and trust, leading to successful AI adoption. In the future, roles centered around AI management will likely become essential, emphasizing the need for structured onboarding processes to realize the full benefits of generative AI.
Source: https://venturebeat.com/ai/the-teacher-is-the-new-engineer-inside-the-rise-of-ai-enablement-and