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How software developers manage stakeholder expectations for gen AI

Dec 10, 2024 - businessinsider.com
At a recent AI roundtable, developers highlighted the significant role AI tools play in coding, noting that while AI can enhance productivity, it is crucial for stakeholders to understand its limitations. The discussion emphasized that foundational coding skills remain essential for effectively using AI tools, and communicating these realities to non-technical stakeholders is a primary challenge. As AI adoption increases, the importance of testing and quality assurance is expected to grow, with the US Bureau of Labor Statistics projecting a 17% growth in software development and related fields over the next decade. Concerns about AI ethics and security were also raised, with examples such as Microsoft's Copilot facing issues with data security.

The roundtable also addressed the challenges of managing stakeholder expectations and the need for clear communication about AI's limits and risks. Kesha Williams from Slalom suggested outlining specific AI use cases to bridge conversations with stakeholders, while Neeraj Verma from Nice emphasized that AI tools like ChatGPT are just one part of a developer's toolkit. Igor Ostrovsky of Augment noted the difficulty in controlling AI behavior to meet user expectations. Despite significant investments in AI technology, there is a call for more focus on AI governance, ethics, and risk analysis. The evolving nature of AI technology requires developers to adapt, learn, and solve complex problems continuously.

Key takeaways:

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  • AI tools are enhancing coding productivity, but understanding their limitations is crucial for stakeholders.
  • Foundational coding skills remain essential for effectively using AI tools, despite their ability to assist with routine tasks.
  • Managing stakeholder expectations about AI's capabilities and risks is a significant challenge for developers.
  • Investment in AI technology is substantial, but there is a need for more focus on AI governance, ethics, and risk analysis.
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