Core Insights - The article discusses the advancements in bionic vision technology, particularly focusing on the PRIMA implant that has enabled individuals with severe vision loss to regain partial sight, exemplified by Sheila Irvine's experience [1][18]. - The integration of artificial intelligence (AI) is crucial for enhancing the functionality of bionic eyes, as it helps interpret visual data and optimize the user experience [3][10]. Technology and Functionality - The PRIMA implant is a thin chip that converts light into electrical impulses, allowing the brain to interpret these as patterns of light, thus restoring some vision to legally blind patients [1][4]. - Current bionic vision systems, such as Argus II and Orion, utilize a limited number of electrodes compared to the natural retina, necessitating the use of AI to enhance image resolution and quality [5][6]. - Phosphenes serve as the basic "pixels" of artificial vision, with electrical pulses stimulating the retina to create visual perceptions, albeit at a lower resolution than natural vision [3][4]. AI's Role in Bionic Vision - AI is essential for filtering and prioritizing visual information, determining what is most important for the user to see in real-time [10][12]. - Techniques such as edge detection, object recognition, and depth perception are employed by AI to enhance the visual experience for users of bionic eyes [10][11]. - The AI system must adapt to individual user needs and environmental conditions to provide a personalized visual experience [13]. Challenges and Ethical Considerations - The field faces significant challenges, including the need for sustainable support for bionic vision devices, as demonstrated by the case of the Argus II system, which left many users without support after the manufacturer ceased operations [16][17]. - Ethical considerations include ensuring accessibility, addressing algorithmic bias, and maintaining privacy for users of visual data processing devices [16][17]. - The future of bionic vision requires not only technological innovation but also a commitment to infrastructure and ethical frameworks to support users long-term [17][18].