How to avoid the AI complexity trap
Briefly

The article discusses the complexities involved in developing and deploying AI within organizations. Chris Howard highlights that while AI appears magical and easy, its integration demands careful budgeting, rollout, and performance assessment, revealing its complicated nature. Smita Hashim points out AI's potential to simplify work processes and enhance productivity. However, Richard Demeny cautions that AI is not a panacea; it requires ongoing management as technologies evolve, underscoring the importance of understanding AI’s limitations and the significant work needed for realization of its benefits.
"AI seems like this magical, really easy thing, and it can do all kinds of amazing things... But once you start to work with it, you realize that it's actually hard, and there are aspects of it that are really complicated."
"The technologies themselves are constantly evolving... it causes confusion -- it's super complex... What appeared to be magical actually is a lot of work."
"AI has great potential to help resolve complexity in the workplace and expand productivity and employee and customer happiness."
"AI is not a silver bullet; it has great potential but comes with significant challenges that organizations need to manage effectively."
Read at ZDNET
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