Relief From Decision Fatigue
Decisions I would normally agonize over, like travel logistics or whether to scuttle dinner plans because my mother-in-law wants to visit, A.I. took care of in seconds.
And it made good decisions, such as advising me to be nice to my mother-in-law and accept her offer to cook for us.
A.I. Takes the Wheel
I’d been wanting to repaint my home office for more than a year, but couldn’t choose a color, so I provided a photo of the room to the chatbots, as well as to an A.I. remodeling app. “Taupe” was their top suggestion, followed by sage and terra cotta.
In the Lowe’s paint section, confronted with every conceivable hue of sage, I took a photo, asked ChatGPT to pick for me and then bought five different samples.
I painted a stripe of each on my wall and took a selfie with them — this would be my Zoom background after all — for ChatGPT to analyze. It picked Secluded Woods, a charming name it had hallucinated for a paint that was actually called Brisk Olive.
The Consequences of Relieving Decision Fatigue
Just as we’ve outsourced our sense of direction to mapping apps, and our ability to recall facts to search engines, this explosion of A.I. assistants might tempt us to hand over more of our decisions to machines.
Judith Donath, a faculty fellow at Harvard’s Berkman Klein Center, who studies our relationship with technology, said constant decision making could be a “drag.” But she didn’t think that using A.I. was much better than flipping a coin or throwing dice, even if these chatbots do have the world’s wisdom baked inside.
“You have no idea what the source is,” she said. “At some point there was a human source for the ideas there. But it’s been turned into chum.”
The Dark Side of A.I.-Generated Decisions
The information in all the A.I. tools I used had human creators whose work had been harvested without their consent. (As a result, the makers of the tools are the subject of lawsuits, including one filed by The New York Times against OpenAI and Microsoft, for copyright infringement.)
There are also outsiders seeking to manipulate the systems’ answers; the search optimization specialists who developed sneaky techniques to appear at the top of Google’s rankings now want to influence what chatbots say. And research shows it’s possible.
The Risks of Over-Reliance on A.I.
Ms. Donath worries we could get too dependent on these systems, particularly if they interact with us like human beings, with voices, making it easy to forget there are profit-seeking entities behind them.
“It starts to replace the need to have friends,” she said. “If you have a little companion that’s always there, always answers, never says the wrong thing, is always on your side.”
Conclusion
While A.I. can provide relief from decision fatigue, it is essential to be aware of the potential consequences of relying too heavily on these systems. As A.I. continues to evolve, it is crucial that we consider the ethical implications of its use and strive to maintain a balance between technology and human judgment.
FAQs
Q: What are the potential risks of relying too heavily on A.I.-generated decisions?
A: Relying too heavily on A.I.-generated decisions can lead to a lack of understanding of the source of the information and the potential for manipulation by external entities.
Q: What are the ethical implications of using A.I. in decision-making?
A: The ethical implications of using A.I. in decision-making include the potential for bias, the lack of transparency in the decision-making process, and the potential for manipulation by external entities.
Q: How can we maintain a balance between technology and human judgment?
A: Maintaining a balance between technology and human judgment requires being aware of the potential risks and biases associated with A.I.-generated decisions and ensuring that human judgment is still involved in the decision-making process.
