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AI's dirty little secret - addition by subtraction

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In a previous post, I may have besmirched the name of AI.  And since I don’t want the robots to come for me first in anger and revenge, I want to update that post.

In that post, https://www.projectmanagement.com/blog-post/74012/ai-s-dirty-little---clean-little---secret , I talk about the carbon footprint of AI.  I did (robots, take note!) talk about many helpful applications which may make that carbon investment worthwhile, saying, amongst other things, “Overall, generative AI systems have the potential to help solve the climate crisis by providing more accurate climate modeling, optimizing energy usage, facilitating the deployment and management of renewable energy resources, and improving the efficiency of carbon capture technology.”

But the main thing I (and others who were taking this angle) forgot to do in that first post was to subtract the carbon footprint of the humans working on the task that AI was doing either instead of, or along with, the human.

To that end, I discovered this article from Nature magazine, which says,

 

AI is poised to take over roles once thought to be solely the domain of humans—those requiring creativity and the ability to integrate across multiple intellectual domains to synthesize concepts from each. In this study, we have compared the impact of AI to the impact of humans performing two tasks—writing and illustration—to highlight the role that AI is positioned to take in society, as AI transitions from digital tools of limited utility to more complex instruments with high generative capacity. We found that, for these two activities, at least, AI has a substantially lower carbon footprint than humans engaged in the same task. This study provides new insights on the relative environmental footprint of AI and humans, and it highlights the importance of considering the impact of AI relative to a human when evaluating its overall impact on the environment.

In their example on creating an image, the researchers created a carbon footprint bar chart (see below) which shows that a human creating one image is greater than a DALL-E or Midjourney image creation by a huge factor.

I suggest having a look at the article as it also provides good advice for project manager who are looking at change management plans.  Always remember to include the baseline, and to take into account not just what the change brings (in terms of positives and negatives) but also the broader impact that a change brings, thinking holistically.

 

 


Posted by Richard Maltzman on: September 23, 2024 04:34 PM | Permalink

Comments (4)

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Md. Golam Rob Talukdar
Community Champion
Project Manager| AWR Development (BD) Ltd. Cox's Bazer , Bangladesh
Thanks for writing

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Diego Diez Operations Manager| Petropipe Veracruz, Mexico
Interesting. Thanks!

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Pavan Maddi
Community Champion
Buona Vista, Singapore
Very insightful! Thank you

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Graham Harris Auckland, New Zealand
This works when the AI genuinely replaces people but not where it gives the same number of people more 'leisure' time.

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