AI Is Not Ready for Education, but Education Is – InsideSources

I’m a data scientist, so it might come as a surprise if I say: AI isn’t 100 percent ready for education.

If you put a bunch of AI engineers in a room, our conversation will inevitably return to ethics and social consequences. We argue about what applications are ready for AI, and about the complexities of the implementation process. And yet, despite sharp and diametrically opposed views on specific applications, every scientist I know is 100 percent committed to following the standard so as not to harm.

The basic principle is that if an application has little risk to a person, if the AI ​​makes the wrong decision, we are relatively confident that the introduction of AI elements into the process is normal. If there is a high risk of harm to humans, AI should not be used or should only be used under strict human supervision. Regardless of the risk factor, human supervision should be a requirement when developing and implementing AI.

It is good if the AI-supported curriculum has chosen certain material to help the teacher fill the learning gap. Identifying grammatical errors and providing recommendations for correct citation is an excellent AI application. Education requires these kinds of efficiencies, however AI will probably never become a teacher because teaching is related.

Education is ready for AI only if it is under the supervision of people. This statement may seem contradictory, given that I lead the development of artificial intelligence in a technology company where AI is integrated into workflow assessment and writing support. Let me explain why this is not the case.

In our company, artificial intelligence supports educational technologies, but is not required in their operation. For example, one of our educational applications helps teachers to set assignments and exams faster and more consistently. It can work with features with or without AI support. With artificial intelligence, our app can recognize similar responses and group them. Such responses are then evaluated at once without having to do it over and over again.

The safest and most useful AI applications work in a similar way, even those that are not part of education. When it comes to training, AI does not make decisions about grades and outcomes; he does not value personality; it is part of a work process that is controlled by people. We have developed other products where AI is process-oriented. For example, one of our products compares students ’literacy and gives recommendations on how to improve. Students receive feedback on their writing on demand. It’s powerful.

AI can run faster than a human and it never gets tired. It learns from what is seen and answers as many times as the student asks. AI combs the data of one person and compares them with the data of many. If a person did this, it would take a lifetime to process, and then a few hours. And, like humans, AI gets better at seeing patterns, so it improves with practice.

I am most excited about how artificial intelligence can alleviate the hard work of teachers because when classes are less, teachers have more time. If they have more time, they can communicate more with their students. My job and the work of my team is to make decisions under the guidance of artificial intelligence in the least way than redemption hours so that teachers can manage these interactive learning moments.

We have adopted standards specific to the development and use of AI in educational applications. Above: “AI should promote learning outcomes and promote and protect academic integrity.” This means that we seek to increase opportunities for interaction between the individual, the teacher and the student, because this is when learning takes place. There is a magical moment when a student perceives what the teacher has said or written, perceives it and relates it to an action they have already done. The student realizes that there is a new perspective, a more accurate answer, a different perspective, or they just stop to explore their own thoughts on the subject, and thus they learn.

Education is ready for artificial intelligence, but only when the standard for implementing artificial intelligence includes human control is AI ready for education.

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