We were uncertain whether Google Translate was accurately translating our complex medical phrases.3 4 Fortunately our patient recovered, and a …Īrtificial intelligence (AI) technologies are one of the new technologies with new complicated features that are emerging at a fast pace. Reluctantly we resorted to a web based translation tool. The parents did not speak English, and there were no human translators available. We recently treated a very sick child in our paediatric intensive care unit. Indeed, even in a native language there is an element of translation from medical to lay terminology. A complex and nuanced medical, ethical, and treatment discussion with patients whose knowledge of the local language is inadequate remains challenging. In the United Kingdom most hospitals have access to translation services, but they are expensive and often cumbersome. We validate that it is feasible to detect DolphinAttack by classifying the audios using supported vector machine (SVM), and suggest to re-design voice controllable systems to be resilient to inaudible voice command attacks.Ĭommunication is the cornerstone of medicine, without which we cannot interact with our patients.1 The General Medical Council’s Good Medical Practice states that “Doctors must listen to patients, take account of their views, and respond honestly to their questions.”2 However, we still often interact with patients who do not speak the local language. We propose hardware and software defense solutions. By injecting a sequence of inaudible voice commands, we show a few proof-of-concept attacks, which include activating Siri to initiate a FaceTime call on iPhone, activating Google Now to switch the phone to the airplane mode, and even manipulating the navigation system in an Audi automobile. We validate DolphinAttack on popular speech recognition systems, including Siri, Google Now, Samsung S Voice, Huawei HiVoice, Cortana and Alexa. By leveraging the nonlinearity of the microphone circuits, the modulated low frequency audio commands can be successfully demodulated, recovered, and more importantly interpreted by the speech recognition systems. In this work, we design a completely inaudible attack, DolphinAttack, that modulates voice commands on ultrasonic carriers (e.g., f > 20 kHz) to achieve inaudibility. Hidden voice commands, though hidden, are nonetheless audible. Prior work on attacking VCS shows that the hidden voice commands that are incomprehensible to people can control the systems. Speech recognition (SR) systems such as Siri or Google Now have become an increasingly popular human-computer interaction method, and have turned various systems into voice controllable systems(VCS). Jedoch sind auch potenzielle Risiken mit Blick auf die individuellen Daten und die Sicherheit der Nutzer von Bedeutung und ihre Reduktion oder Vermeidung ist durch die Unternehmen sicherzustellen, um digitale Sprachassistenten im B-to-C-Vertrieb erfolgreich etablieren zu können. Dabei spielt nicht nur technische Optimierung der Systeme eine Rolle, sondern vor allem auch die Komponente des Anthropomorphismus, also der Verleihung menschlicher Züge, beeinflusst die Wahrnehmung und Nutzung durch Konsumenten. Hier stehen funktionale Nutzen und emotionale bzw. Jedoch spielt gerade bei Konsumenten die Analyse der Akzeptanzfaktoren eine besondere Rolle. Über den gesamten Kaufprozess hinweg bieten sie sowohl für Unternehmen als auch für die Kunden das Potenzial der Optimierung und Personalisierung der Prozesse und Ergebnisse, der Kommunikation und der Interaktion mit den Kunden. Overall, this review underscores the importance of considering the complex relationship between these factors in shaping public perceptions of AI and the need for ongoing research to better understand this interplay.ĭigitale Sprachassistenten können genutzt werden, um die Effektivität und Effizienz im Vertrieb zu Endkunden zu steigern. By highlighting the potential for innovation in this field, this article provides insights that can inform future research on the interplay between news use, science fiction viewing, technology discussions, and public attitudes towards AI. Moreover, the article discusses the potential for innovative approaches to further explore the relationship between these factors and their impact on attitudes towards AI. The article reviews existing literature and identifies key findings that highlight the importance of these factors in shaping public perception of AI. This review article examines the interplay between news use, science fiction viewing, and technology discussions in shaping public attitudes towards AI. As the use of artificial intelligence (AI) continues to grow, it is essential to understand how the public perceives this technology.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |