Despite Artificial Intelligence predictions and lure of a future AI Singularity, the features and capabilities offered today are still reliant on human exceptionalism with its goal of augmenting and enhancing individual human productivity. By this we mean that AI-generative quality is dependent upon some level of ongoing human creativity and uniqueness to stabilize and improve its results.
In a data-world increasingly dominated by AI-generated results, where proportional data samples are non-human generated, experiments point to a phenomenon called Model Collapse. One example finds that without human-generated training data, AI systems malfunction.
Model Collapse
…the future of generative AI may be bleak. As the training data becomes ever more dominated by AI-generated output, its ability to surprise and delight will diminish. It will become predictable, dull, boring, and probably no less likely to “hallucinate” than it is now. To be unpredictable, interesting, and creative, we still need ourselves.
“To succeed, generative AI will need ongoing human creativity and touch. Business that finds success harness human-centric capabilities such as creativity, curiosity, and compassion”, according to according to MIT Sloan senior lecturer Paul McDonagh-Smith.
It’s up to humans to add the “creativity quotient” to use technologies like generative AI to their full potential. For organizations, this means creating processes, practices, and policies that empower people to be creative to maximize the power of transformative technologies.
Creativity Quotient
Generative AI has the potential to augment human creativity and democratize innovation by supplementing the creativity of employees and customers, help them produce and identify novel ideas, and improve the quality of raw ideas. However, to use technologies like generative AI to their full potential, it’s up to humans to add the “creativity quotient”. This is more than auditing and avoiding “hallucinating” and erroneous generative results. This means creating processes, practices, and policies that empower people to be creative to maximize the power of transformative technologies. Boosting your creativity quotient will optimize the use of large language models and generative AI.
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