The summary of the MIT working group on generative AI and the work of the future

To conclude MIT’s working group on generative AI and the work of the future, the group has released a paper summarizing the findings from three years of research on companies’ experiments with generative AI.

Across the applications of generative AI addressing these challenges, there has been a shift in the core tasks that professional and technical workers are being asked to perform. Where generative AI tools are being deployed, workers are increasingly asked to perform supervisory control tasks as the “human in the loop” overseeing and analyzing a process rather than executing the process manually.

We draw six lessons for how to capture the benefits of these technologies:

• Minimize drudgery
• Promote learning
• Preserve teamwork
• Interface design
• Domain expertise
• Accountability

Here is the executive summary and here is the full paper.

Via BlueSky

from Adafruit Industries – Makers, hackers, artists, designers and engineers! https://ift.tt/tfwW2Ta
via IFTTT