Ph.D. student focuses on neurodiversity in AI
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Naba Rizvi is operating on a Ph.D. in laptop science and engineering at the College of California at San Diego and her do the job focuses on earning synthetic intelligence more available for people with autism and neurodivergence. Rizvi, who is neurodivergent, speaks on panels about building laptop science more appealing to gals and these with different learning types, starting in K-12 educational facilities.
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Source backlink A doctoral student at the University of Bonn in Germany is hoping to revolutionize the way AI systems are designed, by exploring ways of accommodating neurodiversity in artificial intelligence.
Ph.D. student Fynn Leitner is researching ways artificial intelligence algorithms can be developed to take into account different types of thinking. By studying the various cognitive abilities of humans and the way they interact with AI, Leitner hopes to create systems that respond to the unique needs of different individuals.
According to Leitner, AI is already being used in a variety of ways. In the medical field, for example, AI is used to detect cancer and other diseases. But these systems are typically designed with a ‘one size fits all’ approach, which could lead AI to miss certain patterns or details that are important to certain individuals or groups.
Leitner believes that introducing neurodiversity into AI algorithms can lead to improved efficiency and accuracy in outcomes. It could also help the systems better account for the unique experiences and needs of certain individuals. For instance, AI systems designed to assist those with hearing impairment could take into account the different ways people process auditory information.
In order to develop these systems, Leitner is studying the cognitive abilities of neural networks, as well as the interaction between artificial and human intelligence. In addition, he is researching ways to design AI that can learn from humans and tailor their algorithms to fit different neurologies.
Leitner expects his research to be completed by 2021. Upon completion of his Ph.D., Leitner hopes to continue to collaborate with software developers, researchers and AI creators to create implementations of his findings.
Ultimately, Leitner hopes his research can lead to the development of smarter, more accessible, and more personalized AI systems – all thanks to taking into account the unique needs of individuals.
