Artificial intelligence (AI) has become widely used in modern society. The usage of AI in self-driving cars and voice recognition has an impact on how we conduct our daily lives. A recent study, however, discovered that children performed critical psychological tasks better than AI.
According to a recent study from New York University that was published in the journal Cognition, infants may be better than artificial intelligence to understand the motivation behind a person’s gestures. This study highlights the need of developing current technology and pinpointing AI’s limitations because it clearly showed the distinction between cognition and computation.
“Adults and even infants can easily make reliable inferences about what drives other people’s actions,” said an assistant professor in New York University’s Department of Psychology and the paper’s senior author, Moira Dillon, PhD. “Current AI finds these inferences challenging to make.”
Because of the original idea of children and artificial intelligence competing against one another on the same tasks, researchers are now better able to characterize neonates’ intrinsic understanding of other people and make suggestions for how to incorporate such knowledge into AI.
As seen by the way they view and perceive others, babies are fascinated by others. In addition, they have rudimentary communication skills and human emotional understanding. The ability of infants to articulate specific preferences and set goals aids in the development of human social intelligence.
More than 80 11-month-old babies were used in the study to examine the differences between infants and AI. The group compared infants to artificial intelligence and watched how they responded to a “state-of-the-art learning-driven neural-network model.” The group employed the “Baby Intuitions Benchmark” (BIB), a set of six exercises that test people’s psychological realism.
BIB was developed to compare the performance of newborns and machines and, more crucially, to provide an observed basis for creating humanistic AI. Infants watched videos on Zoom that included simple, animated shapes bouncing around the screen. By pulling items from the screen and making additional actions, human behavior, and decision-making were replicated.
Also developed, taught, and put to the test were learning-driven AI devices, which help computers recognize patterns and emulate human intellect. The researchers discovered that infants could recognize human-like intentions in simple actions and animated shapes. Despite the continuous contextual changes, they had to recognize the retrieval of identical objects on the screen. Infants gave moving things longer looks that suggested recognition.
Yet, there was no indication of recognition from AI tools. As of right now, it appears that only humans have this capacity for thought. It enables us to collaborate and interact with others.
Dillon concluded: “A human infant’s foundational knowledge is limited, abstract, and reflects our evolutionary inheritance, yet it can accommodate any context or culture in which that infant might live and learn.”
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