Cheating has been an inevitable part of everyone’s life. Definitely it isn’t something to be proud of, but still, everyone has done this at least once in life. We have cheated in exams, on our diets, during home works, and everything that involved hard work. But now this would become difficult, especially because cheating can now be caught using AI. Now AI to detect when u will cheat.
AI in everything
The world has moved another step towards making the machines do everything. Now they have developed a system with the AI that would determine when you are about to cheat. AL is being implemented in various ways.
One such example is of using ML and data analytics to help employers with job hiring. According to the data on the website of the company Crosschq the technology “gathers direct insights from people, for people and transforms those insights into powerfully predictive data that helps ensure a great job match between talent and a company.”
Technology in Detail
Using a proprietary technology called Human Intelligence Hiring, the company asks job candidates to rate themselves in different areas, such as “self-motivation” or “attention to detail.” Meanwhile, the candidates’ references are also asked to rate the potential employee on the same factors. Using the technology, the company can compare both ratings and highlight any inconsistencies.
The extent of using this technology does not end here. One of the biggest curses for a person who loves to eat is not to eat. Maybe because of the diet plan that the gym trainer has suggested or many other reasons.
Researchers at Drexel University in Philadelphia have developed an application for the smartphone, which can predict when the user is most likely to cheat on their weight loss plan. The app comes with the name “OnTrack.”
“Very few people are successful at losing weight and keeping weight off, even with the help of these apps. The bottom line seems to be that it is extraordinarily difficult to stay on the weight loss plan,” said Drexel psychology professor in a press release. The main driving force behind this was that weight loss apps are “exceptionally popular” said Drexel psychology professor Evan Forman.
How does this happen?
“Specifically, it learns patterns that are predictive of staying on one’s weight loss plan and patterns that are predictive of lapsing from one’s plan,” Forman explained. “When the algorithm detects the risk of lapsing is high, it sends a special coaching message that matches the reasons that someone is at risk.” The app’s predictions improve over time as it gets better at predicting a user’s patterns.
“I think that it is realistic to expect that high schools will begin using it at some point,” Stephan Lorenzen, a Ph.D. student at the University of Copenhagen who helped develop the technology said in a May press release. “But before they do, there needs to be an ethical discussion of how the technology ought to be applied. Any result delivered by the program should never stand on its own, but serve to support and substantiate a suspicion of cheating.”
“It would be fun to collaborate with the police, who currently deploy forensic document examiners to look for qualitative similarities and differences between the texts they are comparing. We can look at large amounts of data and find patterns. I imagine that this combination would benefit police work,” Lorenzen added.