ai-augmentation-not-automation

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Makes the strategic and moral case for AI augmentation over pure automation, providing leaders with frameworks for job redesign, creativity-driven AI deployment, and long-term workforce investment. Draws on the centaur model from chess and case studies across industries to demonstrate that human-AI collaboration outperforms either alone. Use when deciding between automating jobs and redesigning them, when AI adoption is eroding workforce skills, when boards pressure for automation-driven cost cuts, when designing new roles that pair human creativity with AI capabilities, or when facing the long-term consequences of over-automation.

AI & Automation 50 stars 9 forks Updated 6 days ago MIT

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Skill Content

Read [runtime](../../content/RUNTIME.md) and [advisory rules](../../content/policies/advisory.md) before applying this skill. Other Foreman layers and the catalog are in `../../content/`, relative to this SKILL.md. # AI Augmentation, Not Automation In 2005, the online chess platform Playchess.com hosted a freestyle tournament with an unusual rule: any combination of humans and computers could enter. Grandmasters played alongside AI engines and hybrid teams of amateurs armed with laptops. The winners were not the grandmasters. They were not the strongest AI engines. They were two amateur players using three ordinary computers, who had developed a superior process for integrating human intuition with machine calculation. Garry Kasparov, observing the result, articulated the principle that would come to define a generation of human-AI research: "Weak human + machine + better process was superior to a strong computer alone and, remarkably, superior to a strong human + machine + inferior process." The centaur -- the mythological creature that is half human, half horse, greater than either -- had entered the business lexicon. The principle applies directly to every organisation contemplating AI: the goal is not to replace the human with the machine but to create a hybrid that outperforms both. --- ## The Framework ### The Automation Trap Up to 60 percent of work activities could be automated, and this trend shows no signs of decelerating. Organisations pursue standardisation...

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Author
fatihguner
Repository
fatihguner/foreman
Created
5 months ago
Last Updated
6 days ago
Language
JavaScript
License
MIT

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