Three Myths About Generative AI in the Workplace – and
In the past year or so, generative AI has received more media attention than any other type of technology. Up until this point, data science has been at the center of these innovation stories, and rightfully so: None of the next-generation technology tools can work without a strong data science program.
As soon as generative AI tools like ChatGPT and DALL-E hit the indonesia whatsapp number data mainstream, opinions from experts and the public ran the gamut from AI skeptics to those who believe AI will automate the vast majority of work in the future.
As technologists, we know: The truth really falls somewhere in the middle of these extremes.
But there are likely others on your team, in your company, on your board who might not know the finer points of what’s hype and what’s reality. Further, the existence of these myths could become a barrier for building advocacy for well-designed, thoughtful generative AI solutions within your company.
I believe digital experts should make new technologies in the workplace tangible for leaders and colleagues. Here are three generative AI myths you might encounter in the year ahead, and how to bust those myths:
Myth 1: Generative AI can automate everything – and may replace our jobs.