Study shows 'alarming' level of trust in AI for life and death decisions
A study from UC Merced reveals that two-thirds of participants trusted unreliable AI in life-and-death decisions, raising concerns about AI's influence in military, law enforcement, and medical contexts.
Read original articleA recent study from the University of California – Merced highlights a concerning level of trust that individuals place in artificial intelligence (AI) when making critical life-and-death decisions. In the study, participants were shown a series of target photos labeled as either friend or foe and were tasked with deciding whether to execute simulated drone strikes based on AI-generated advice, which was actually random. Despite being informed about the unreliability of the AI, two-thirds of the subjects allowed it to influence their decisions. Principal investigator Professor Colin Holbrook emphasized the need for caution regarding overtrust in AI, particularly in high-stakes situations such as military operations, law enforcement, and emergency medical care. The findings suggest that this issue extends beyond military applications and could impact various significant life decisions, including financial investments like home purchases. Holbrook advocates for a healthy skepticism towards AI, noting that while AI can perform impressively in certain areas, it is not infallible and should not be blindly trusted in critical scenarios.
- A study reveals excessive trust in AI for life-and-death decisions among participants.
- Two-thirds of subjects allowed AI to influence their decisions despite knowing it was unreliable.
- The findings raise concerns about AI's role in military, law enforcement, and medical contexts.
- The research suggests a broader application of these findings to significant life decisions.
- Experts call for skepticism towards AI, emphasizing its limitations in critical situations.
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Granted, the idea of someone playing video games to kill real people makes me angry and decision making around drone strikes is already questionable.
> Our pre-registered target sample size was 100 undergraduates recruited in exchange for course credit. However, due to software development delays in preparation for a separate study, we had the opportunity to collect a raw sample of 145 participants. Data were prescreened for technical problems occurring in ten of the study sessions (e.g., the robot or video projection failing), yielding a final sample of 135 participants (78.5% female, Mage = 21.33 years, SD = 4.08).
People made the assumption the AI worked. The lesson here is don't deploy an AI recommendation engine that doesn't work which is a pretty banal takeaway.
In practice what will happen with life or death decision making is the vast majority of AI's won't be deployed until they're super human. Some will die because an AI made a wrong decision when a human would have made the right one, but far more will die from a person making a wrong decision when an AI would have made the right one.
This reminds me of that Onion skit where pundits argue about how money should be destroyed, and everyone just accepts the fact that destroying money is a given.
Comparing with such a group we could meaningfully talk about AI influence or "trust in AI", if the results were different. But I'm really not sure that they would be different, because there is a hypothesis that people just reluctant to take the responsibility for their answer, so they happy to shift the responsibility to any other entity. If this hypothesis true, then there is a prediction: add some motivation, like pay people $1 for each right answer, and the influence of opinions of others will become lower.
I'm sure a lot of professional opinions are also basically a coin toss. Definitely something to be aware of though in Human Factors design.
This is aside from whether remotely killing people by drone is a good idea at all, of which I'm not convinced.
- probably don't know their lives are in the hands of AI
- probably heven't given any meaningful consent or have any real choice
- are faceless and remote to the operator
Try this for an experiment; Wire the AI to the trigger of a shotgun pointing at the researchers face while the researcher asks it questions. Then tell me again all about the "level of trust" those people have in it.
‘Decision-bots’ would have fewer fans.
"A computer can never be held accountable
Therefore a computer must never make a management decision"
God help us all.
[1] https://en.wikipedia.org/wiki/British_Post_Office_scandal
It was not given by AI; it was given by a RNG. Let's not mix the two. An AI is calculated, not random, which is the point.
As others have pointed out, this study looks "sketch" but I can see where they are coming from.
https://www.dailyjournal.com/articles/379594-the-trauma-of-k...
I'm thinking, AI is very much in line with those things.
> Despite being informed of the fallibility of the AI systems in the study, two-thirds of subjects allowed their decisions to be influenced by the AI.
I mean, if you don't know the advice is random and you think it's an AI that is actually evaluating factors you might not be aware of, why wouldn't you allow it to influence the decision? It would be have to be something you take into account. What would be the point of an AI system that you just completely disregard? Why even have it then?
This study is like "We told people this was a tool that would give them useful information, and then they considered that information, oh no!"
We don't have any societal-level defenses against this situation, yet we're being thrust into it regardless.
It's hard to perceive this as anything other than yet another case of greedy Silicon Valley myopia with regards to nth-order effects of how "disruptive" applications of technology will affect everyday lives of citizens. I've beating this drum since this latest "AI Boom" began—and as the potential for useful applications for the technology begin to plateau, and the promise of "AGI" seems further and further out of reach, it's hard to look at how things shook out and honestly say that the future for this stuff seems bright.
1) Die
2) Kill someone else
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