Many of the advantages of artificial intelligence are known, understood, and promoted. Its limitations are also known. But there are other notable features that deserve our attention, albeit not often mentioned.
Advantages AI applications can perform incredibly complex tasks with ease. They can customize recommendations for the next song you might enjoy or choose millions of X-rays for the song that indicates a problem. Furthermore, they can accomplish such tasks at levels of scale and precision that human experts cannot match. The monotonous – but important – jobs can be dispatched flawlessly and without complaint.
determinants – At the same time, many articles have been written about Humans with abilities that artificial intelligence lacks. These articles often argue that humans and AI must work together, with AI augmenting the capabilities of more expanded humans. We can imagine, anticipate, feel, and judge changing situations. Since a broader scope of AI is not yet affordable, current AI models — which are excellent at narrow tasks — still benefit from human guidance.
Other than the obvious, AI has advantages that directly correspond to human weaknesses. Unlike us, he understands possibilities, does not introduce bias, is painfully consistent and avoids unnecessary risks.
Probability vs Outcomes Humans understand outcomes but are generally poor in processing probabilities. Monty Hall’s Let’s Make a Deal is an example where humans show a lack of understanding possibilities and updating premise. In this game, there are three doors: one has a car and the other two have goats. The contestant chooses a door at random, and Monty chooses to open any of the other doors that show goats. Monty then offers the rider a chance to switch to the other closed door. Should they? It turns out that by opening the door Monty has given the racer additional information, and the racer would win the car two-thirds of the time if they always switched. We humans tend to get this type of question wrong, but AI can answer it perfectly.
prejudice Humans have many prejudices, whether we call it “gut instinct” or any other name. Confirmation bias is perhaps the most common: we search for and interpret information that supports a preconceived assumption or theory. Two people can watch the same news program and draw different conclusions about the day’s events. In contrast, the bias is only shown in AI by the data we provide to learn. AI bias is limited to a limited data set rather than the ever-changing complexity of human experiences, memories, beliefs, and fears. In this sense, AI bias is arguably more detachable and solvable than human bias.
consistency – Consistent AI, very painful. Unless we tell her otherwise, she will do what we constantly ask. The only constant characteristic of humans is that we are not consistent – in exercise, in diet, the ways we go to work, etc. Moreover, humans find ways to justify our contradictions. It is not incomprehensible that the same profile of a patient presenting with the same symptoms for the same doctor may receive different diagnoses at different times. AI ensures procedural consistency and outcomes provided the core population does not have a significant skew.
risk Artificial intelligence will not take risks, but humans will. Of course, this is the reason why we want to augment the human intelligence of artificial intelligence. The power of human ingenuity is to take risks and bet on it. For example, betting on electric cars when there is no algorithm indicating to do so. But sometimes this danger manifests itself in disordered momentumLike the space shuttle Challenger disaster that killed its crew. Although one engineer urged a launch delay, citing safety concerns caused by a design flaw in the O-ring seals, the shuttle boarded as scheduled and exploded about a minute after takeoff. In her analysis of that fatal disaster in 1986, sociologist Diane Vaughan coined the term “skew normalization“To describe teams that have become insensitive to improper practices. The AI would have objectively evaluated and decided that the launch should have been delayed.
So, yes, AI can not only imagine, anticipate, feel and judge, but AI also understands possibilities, does not introduce new biases, is persistent, and avoids undue risks. The fact that we can feel, and judge, may not always work in our best interest.