One Podcast Explores AI's Role and Risks in Change Management
Boutique consultancy Project One has released a new episode of its in-house podcast focusing on the practical use of AI in business change. Leigh Adams, a change management expert, joins the conversation to clarify what AI really means in this context and why human skills remain essential.
Project One’s Transformation Talks podcast shares strategies, stories, and insights to help business leaders manage change effectively. Available on all major podcast platforms, the monthly show tackles a different topic each time.
Separating AI Hype from Practical Application
In the latest episode, host Hayley Saich and Leigh Adams discuss the confusion around AI. According to Adams, AI is often misused as a catch-all term covering big data, automation, robotics, and intelligence. In change management, AI mainly relates to managing knowledge, information, and data.
This broad usage can lead organizations to treat AI as a fix-all solution or even as a replacement for human talent. Adams stresses the need to maintain perspective: AI tools rely heavily on the quality of input and the expertise of the people using them.
He explains, “The data source only means something to the person who wants that data. Someone has to understand what they’re researching, what they want to build, and what the final goal is.”
Accountability and Responsible Use of AI
The discussion also covers who should be responsible for spotting AI opportunities within a company and ensuring its proper use. AI technology can be prone to errors and data breaches, so organizations must handle it carefully and ethically.
- Identify where AI can increase efficiency without losing sight of human judgment.
- Maintain clear accountability for AI-driven processes.
- Monitor AI outputs for accuracy and security risks.
For managers looking to deepen their AI skills and apply them responsibly, exploring specialized training can be valuable. Resources like Complete AI Training’s latest courses offer practical guidance on AI tools and their business applications.
Understanding AI’s real capabilities and limitations is key to using it effectively in change management. Human insight and accountability remain critical to steering transformation efforts in the right direction.
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