3 results about "Turing test" patented technology

The VEM-robot emotional right-brain model construction method decomposes the robot's brain into an emotional right brain, an intellectual left brain, and a motor cerebellum, forming the embodied or humanoid robot operating system VEM-ROS. This enables emotional communication between the robot and humans or other robots. Human output is used as the perceptual spectrum, and robot output as the deductive spectrum. Both the perceptual and deductive spectra are segmented, synthesized, and aligned using the emotional rhythm of the multimodal VEM-Token. LLM-Token decomposition of the large language model calculates lexicalized logical perception, and VEM-Token decomposition calculates the micro-expressions of multimodal emotional components. VEM-ROS also includes priority and interruption mechanisms, VEM memory mechanisms, dialogue relationships, craniofacial and limb sensors and actuators and interfaces, robot cloning, and operating system encapsulation. The right-brain model supports emotional micro-expression communication between the robot and humans, similar to the Turing test, and is expected to distinguish whether the emotional test subject is a robot or a human.

An audio signal signing module (500) is provided which, comprises a Turing tester (700) configured to perform a Turing test to differentiate a human from a non-human as user, an input (502) configured to receive a digital audio signal (121), a block divider (130) configured to divide the received digital audio signal (121) into a sequence of a plurality of audio blocks (131), an audio feature extractor (150) configured to extract audio features (151) from a current audio block (131), a signature unit (140) configured to generate a signature (144) associated to the current audio block (131) by applying a private key (142) to the audio features (151) and configured to provide signed authentication information (141), which comprises the extracted audio features (151) and the signature (144), wherein the signed authentication information (141) is outputted to a memory (600), an information embedder (160) configured to generate an audio block (131) with embedded information (161) by embedding authentication access information (162) into the current audio block (131), wherein the authentication access information (162) comprises information on how and / or where the signed authentication information (141) is retrievable from the memory (600), and an audio output (190) configured to output an authenticable audio signal (501) comprising a sequence of the audio blocks with embedded authentication access information (161), In a first operating mode the Turing tester is configured to output a question or prompt which the user must answer, receive an answer in form of an audio signal captured via at least one microphone, analyze the answer captured by the microphone, compare the received answer to a correct answer of the question or prompt, and activate a second operating mode, when the received answer is correct and user has passed the Turing test. The second operating mode is activated after completion of the first operating mode to generate an authenticable audio signal (501) via the input (502), the block divider (130), the audio feature extractor (150), the signature unit (140) and information embedder (160).

This invention describes how to add the dimensions of self-awareness and increased autonomy to the AI, AGI and SuperIntelligent systems described in previous patent applications. Novel and useful methods include inventions related to: attention, attentional interrupts, modelling and maintaining awareness and self-awareness, training and tuning of models, novel versions of the Turing Test, forming individual and group identities, combining identities, multiple ways (including hierarchical methods) for resolving conflicts between identities, temporary suspension of identities in unsafe conditions, continuous improvement and learning, and other methods that enable AI, AGI, and SI systems to become self-aware and to function with a sense of identity. Properly implemented, self-aware SuperIntelligence could be the most positive invention in human history. Poorly implemented it could become the most dangerous. Therefore, considerable effort has been spent explaining how to design safety into the systems and methods, to prevent bad outcomes and to maximize alignment with human values.