Working with AI: How We Fall into the "Trap of Consensus"

I have been thinking about this topic for a long time and have tried to write several "unfinished articles," all of which came to nothing.

After letting these ideas "cool down" for a while, I suddenly realized that the problem wasn't a lack of clarity or having too much to write; the problem was that I had fallen into the "Trap of Consensus."

This "consensus" is that once the relationship between AI and humans is discussed, it is clearly divided into three pre-set answers: replacing jobs, being unable to replace jobs, or human-machine collaboration. No matter how much data or how many arguments we find to support them, we cannot escape this "choose one of three" or "choose multiple" trap.

Approaching the issue through consensus leads to conclusions that seem significant but are actually unhelpful and indistinguishable from truth or falsehood.

Under this "awakening," I began to examine the process and results of my own "human-machine collaboration" over the past period. I started to reach conclusions that were completely different from my actual experience at the time. Nevertheless, I still adopted the title of one of the papers I read while preparing for this topic as the headline: "Working with AI."