We Don해외 카지노 추천t Really Know How AI Makes Its Decisions. How Big of a Problem Is That?

Human + AI > AI

By Troy Lowry

I해외 카지노 추천ve written many times about how we don해외 카지노 추천t really understand how AI makes its decisions. How much of a problem is that really?

Imagine yourself in court. You are on the witness stand in a trial where some group has claimed that your school해외 카지노 추천s admission practices are not consistent with a recent Supreme Court decision. The prosecutor asks you how your school decides who to admit. You answer: 해외 카지노 추천We let the AI do it.해외 카지노 추천 The prosecutor pushes you for answers on which factors the AI uses to decide. You can해외 카지노 추천t answer definitively.1

Even if it해외 카지노 추천s true that AI decisions are more consistent and less biased than the average human해외 카지노 추천s,2 I suspect this would be a difficult situation for both you and your school to be in, and to me just the thought is a compelling reason not to use AI in admission decisions unless closely overseen and audited by a human.

Then again, science has shown us that humans don해외 카지노 추천t always know how they make decisions, as evidenced by unconscious bias. Still, humans, at least for now, prefer human judgement to machine judgement.

Imagine an alternate scenario, one where the AI makes the decisions, but you double check and approve all of them before they are final. You, the human, make the final decision and ensure fairness. This scenario seems much more comfortable to me.

How AI 해외 카지노 추천Thinks해외 카지노 추천

In my post with a high-level review of how AI 해외 카지노 추천thinks,해외 카지노 추천 I talked a lot about statistics. For a more in-depth look, I해외 카지노 추천d encourage everyone to read on the topic. One key concept is 해외 카지노 추천word vectors.해외 카지노 추천 Computers only understand numbers and AI runs on computers, so to understand words, it must first convert them to numbers. However, it doesn해외 카지노 추천t just convert them to a single number, rather it converts them to a large array3 of numbers.

These numbers can then be used to do word math. For instance, the word vector for 해외 카지노 추천dog해외 카지노 추천 plus the word vector for 해외 카지노 추천sound해외 카지노 추천 equals the word vector for 해외 카지노 추천bark.해외 카지노 추천5 It then uses this word math to predict the next word. If you ask it to write a letter for you, it will literally predict every word one after another until it determines it has met your request.

You might have read that some AI uses neural networks, which are based on the way human brains operate. Neural networks may sound mysterious and magical, but at their root, they too are .

AI is nothing but statistics. It is statistics .

How Humans Think

As humans we like to believe that a) an event occurs b) we process it in our rational brains and then c) we react accordingly. Science says otherwise. Studies show that actually a) an event occurs b) we react and then c) we rationalize post-hoc about why. In short, we make up stories about why we reacted instead of deciding how to react.6

In a series of incredibly back in the 1960s, Roger Sperry worked with people who had the two halves of their brains separated to help abate seizures. In one study, one eye was shown the word 해외 카지노 추천walk.해외 카지노 추천 Often subjects would get out of their chair and start walking. When asked why, they would answer something like 해외 카지노 추천I해외 카지노 추천m going to get a coke,해외 카지노 추천 completely unaware that they had just been prompted to walk and made up a rationalization to cover it.

In short, we really don해외 카지노 추천t understand how humans think either. In fact, it might be statistics all the way down as well.

Where Does That Leave Us

In conclusion, AI decision-making and human thought have a fascinating parallel: both are shrouded in mystery and driven by complex mechanisms that aren't fully understood. While AI operates on a foundation of intricate statistical models and neural networks, human decisions are often the result of subconscious influences and post-hoc rationalizations.

The key takeaway here is the need for a balanced approach. Relying solely on AI for decisions, when it is currently impossible to truly understand its inner workings, has both real and perceived risks associated with it, as illustrated by the courtroom scenario. Conversely, human decisions, while more interpretable, are not free from bias and error.

The ideal path forward seems to be a synergy of human oversight and AI efficiency, ensuring decisions are not only fair and consistent, but also transparent and accountable. Using human decision making as a double check for AI decision making instead of allowing the AI to be unfettered and unaccountable is a way to reduce the unknowns and biases of both AI and humans.

As we continue to delve deeper into the realms of AI and human cognition, let's strive for a future where technology augments human judgment, rather than replacing it, in our relentless pursuit of fairness and progress.

  1. If you can answer definitively, then you really aren해외 카지노 추천t using AI. While marketers will label almost any product 해외 카지노 추천AI해외 카지노 추천 these days, a clear list of factors to make a decision is the realm of traditional computer programming, not AI.
  2. A claim I해외 카지노 추천ve heard made but would need hard evidence specific to the particular AI model and use case to believe
  3. ChatGPT converts each word4 into 12,288 numbers.
  4. Even that is an oversimplification. Sometimes it breaks words into pieces called 해외 카지노 추천tokens,해외 카지노 추천 and each token has 12,288 numbers.
  5. It doesn해외 카지노 추천t exactly equal 해외 카지노 추천bark.해외 카지노 추천 Rather, of the approximately 50,000 word vectors in ChatGPT, 해외 카지노 추천bark해외 카지노 추천 is closest to the results.
  6. Of course, this is only one segment of human thought and an oversimplification even there, but it does illustrate how we don해외 카지노 추천t truly understand how humans think.
ChatGPT